Publications

Awarded papers

• Leiva, V., Barros, M., Paula, G.A., Galea, M. (2007). Influence diagnostics in log-Birnbaum-Saunders regression models with censored data. Computational Statistics and Data Analysis 51(12):5694-5707. Article awarded by Elsevier to the most cited paper during two consecutive periods: 2005-2010/2006-2011.
• Balakrishnan, N., Leiva, V., Sanhueza, A., Cabrera E (2009). Mixture inverse Gaussian distribution and its transformations, moments and applications. Statistics 43:91-104. Article awarded by Taylor & Francis among the 25 most important papers of the history of "Statistics: A Journal of Theoretical and Applied Statistics" due to the international year of Statistics 2013.
• Paula GA, Leiva, V., Barros, M., Liu, S. (2012). Robust statistical modeling using the Birnbaum-Saunders-t distribution applied to insurance. Applied Stochastic Models in Business and Industry 28:16-34. Article awarded by Wiley to the most cited paper during 2012-2013.
• Rojas, F., Leiva, V., Quijada J, Fuentes M (2013). Optimization of contribution margins for a food service by adapting inventory management models. Global Conference on Business & Finance Proceedings 8(2):479-487. Article awarded as the best paper (first place like outstanding research) in Session Award Winners, among 600 participants, by the Institute for Business and Finance Research.
• Leiva, V., Santos-Neto, M., CysneSantos-Neto, M., Cysneiros, F.J.A., Barros, M. (2014). Birnbaum-Saunders statistical modelling: a new approach. Statistical Modelling 14(1):21-48. Article awarded by Sage Publisher to the most read paper during February, 2014.
• Rojas, F., Leiva, V., Ferlice, S. (2015). Inventory management in food companies with demand statistically dependent. CLADEA 2015. Article awarded as the best paper of the track "Management of Operations and Value Chain", during the 50th Annual Meeting of the Latin American Council of Management Schools (CLADEA) 2015.
• Leiva, V., Rojas E, Galea, M., Sanhueza, A. (2015). Diagnostics in Birnbaum-Saunders accelerated life models with an application to fatigue data. Applied Stochastic Models in Business and Industry 28:16-34. Article awarded by Wiley to the most cited paper during 2014-2015.
• Caro-Lopera FJ, Leiva, V., Balakrishnan, N. (2012). Connection between the Hadamard and matrix products with an application to a matrix-variate Birnbaum-Saunders distribution. Journal of Multivariate Analysis 104(1):126-139. Article awarded by Elsevier to the most downloaded paper in 2017.
• Huerta, M., Leiva, V., Lillo, C., Rodriguez, M. (2018). A beta partial least squares regression model: Diagnostics and application to mining industry data. Applied Stochastic Models in Business and Industry 34(3):305-321. Article awarded by Wiley to the most downloaded/read paper in 2017-2018.
• Ventura, M., Saulo, H., Leiva, V., Monsueto, S. (2019). Log-symmetric regression models: information criteria, application to movie business and industry data with economic implications. Applied Stochastic Models in Business and Industry 35(4):963-977. Article awarded by Wiley to the most downloaded/read paper in 2018-2019.
• Balakrishnan, N., Leiva V, Sanhueza, A., Vilca, F. (2009). Estimation in the Birnbaum-Saunders distribution based on scale-mixture of normals and the EM-algorithm. Statistics and Operations Research Transactions 33(2):171-192. Article awarded by the Statistical Institute of Catalonia, Spain, to the last year's top ten most cited papers in 2019.
• Balakrishnan, N., Leiva, V., Sanhueza, A., Cabrera, E. (2009). Mixture inverse Gaussian distribution and its transformations, moments and applications. Statistics 43:91-104. Article awarded by Taylor & Francis to the most downloaded/read paper in 2019-2020.
• Ventura, M., Saulo, H., Leiva, V., Monsueto, S. (2019). Log-symmetric regression models: information criteria, application to movie business and industry data with economic implications. Applied Stochastic Models in Business and Industry 35(4):963-977. Article awarded by Wiley to the most cited paper in 2019-2020.
• Marchant, C., Leiva, V., Christakos, G., Cavieres, M.F. (2019). Monitoring urban environmental pollution by bivariate control charts: new methodology and case study in Santiago, Chile. Environmetrics 30:e2551. Article awarded by Wiley to the most cited paper in 2019-2020.
• Leiva, V., Saulo, H., Souza R, Aykroyd, R.G., Vila, R. (2021). A new BISARMA time series model for forecasting mortality using weather and particulate matter data. Journal of Forecasting 40(2):346-364. Article awarded by Wiley to the most cited paper in 2020-2021.
• Saulo, H., Dasilva A, Leiva, V., Sanchez, L., de la Fuente, H. (2022). Log‐symmetric quantile regression models. Statistica Neerlandica 76(2):124-163. Article awarded by Wiley to the most cited paper in 2020-2021.
• Sanchez, L., Leiva, V., Galea, M., Saulo, H. (2021). Birnbaum-Saunders quantile regression and its diagnostics with application to economic data. Applied Stochastic Models in Business and Industry 37:53-73. Article awarded by Wiley to the most cited paper in 2020-2021.
• Sanchez, L., Leiva, V., Galea, M., Saulo, H. (2021). Birnbaum-Saunders quantile regression and its diagnostics with application to economic data. Applied Stochastic Models in Business and Industry 37:53-73. Article awarded by Wiley to the most cited paper in 2021-2022.
• Leiva, V., Saulo, H., Souza R, Aykroyd, R.G., Vila, R. (2021). A new BISARMA time series model for forecasting mortality using weather and particulate matter data. Journal of Forecasting 40(2):346-364. Article awarded by Wiley to the most cited paper in 2021-2022.
• Akbar, M.A., Leiva, V., Rafi, S., Qadri, S.F., Mahmood, S., Alsanad, A. (2023). Towards roadmap to implement blockchain in healthcare systems based on a maturity model. Journal of Software: Evolution and Process 34:e2500. Article awarded by Wiley to the most cited paper in 2021-2022.

To appear

• Carcamo, E., Marchant, C., Ibacache-Pulgar, G., Leiva, V. Birnbaum-Saunders semi-parametric additive modeling: Estimation, smoothing, diagnostics, and application. REVSTAT - Statistical Journal (in press).
• Liu, Y., Wang, J., Leiva, V., Tapia, A., Tan, W., Liu, S. Robust autoregressive modeling and its diagnostic analytics with a COVID-19-related application. Journal of Applied Statistics (in press).
• Sharma, P., Sharma, A., Leiva, V., Cabezas, X., Martin-Barreiro, C. Assessment of profitability and efficiency of regulatory acts on energy-intensive industries: A panel data methodology and case study in India. Stochastic Environmental Research and Risk Assessment (in press).

2023

• Saulo, H., Vila, R., Cordeiro, S.S., Leiva, V. (2023). Bivariate symmetric Heckman models and their characterization. Journal of Multivariate Analysis 193:105097.
• Akbar, M.A., Leiva, V., Rafi, S., Qadri, S.F., Mahmood, S., Alsanad, A. (2023). Towards roadmap to implement blockchain in healthcare systems based on a maturity model. Journal of Software: Evolution and Process 34:e2500.
• Alomari, M.W., Bakherad, M., Hajmohamadi, M., Chesneau, C., Leiva, V., Martin-Barreiro, C. (2023). Improvement of Furuta’s inequality with applications to numerical radius. Mathematics 11(1):36.
• Basso, F., Frez, J., Hernandez, H., Leiva, V., Pezoa, R., Varas, M. (2023). Crowding on public transport using smart card data during the COVID-19 pandemic: New methodology and case study in Chile. Sustainable Cities and Society 96:104712.
• Castro, C., Leiva, V., Lourenço-Gomes, M.d.C., Amorim, A.P. (2023). Advanced mathematical approaches in psycholinguistic data analysis: A methodological insight Fractal and Fractional 7(9):670.
• Cavalcante, T., Ospina, R., Leiva, V., Martin-Barreiro, C., Cabezas, X. (2023). Weibull regression and machine learning survival models: Methodology, comparison, and application to biomedical data related to cardiac surgery. Biology 11(6):1394.
• de Oliveira, H.M., Ospina, R. Leiva, V., Martin-Barreiro, C., Chesneau, C., (2023). On the use of variability measures to analyze source coding data based on the Shannon entropy. Mathematics 11(2):293. (Listen to the audio abstract.)
• de Oliveira, J.S.C., Ospina, R., Leiva, V., Figueroa-Zúñiga, J., Castro, C. (2023). Quasi-Cauchy regression modeling for fractiles based on data supported in the unit interval. Fractal and Fractional 7(9):667.
• Dhandapani, P.B., Leiva, V., Martin-Barreiro, C. (2023). Construction of a repetitive magic square with Ramanujan’s number as its product. Heliyon 9(1):e12046.
• Dhandapani, P.B., Leiva, V., Martin-Barreiro, C., Rangasamy, M. (2023). On a novel dynamics of a SIVR model using a Laplace-Adomian decomposition based on a vaccination strategy. Fractal and Fractional 7(5):407.
• Diaz-Rodriguez, M., Leiva, V., Martin-Barreiro, C., Cabezas, X., Mahdi, E. (2023). The r-hypergeometric distribution: Characterization, mathematical methods, simulations, and applications in sciences and engineering. Mathematical Methods in the Applied Sciences 46(5):5208–5233.
• Figueroa-Zúñiga, J., Toledo, J.G., Lagos-Alvarez, B., Leiva, V., Navarrete, J.P. (2023). Inference based on the stochastic expectation-maximization algorithm in a Kumaraswamy model with an application to COVID-19 cases in Chile Mathematics 11(13):2894.
• Giraldo, R., Leiva, V., Castro, C. (2023). An overview of kriging and cokriging predictors for functional random fields. Mathematics 11(15):3425.
• Giraldo, R., Leiva, V., Christakos, G. (2023). Leverage and Cook distance in regression with geostatistical data: methodology, simulation, and applications related to geographical information. International Journal of Geographical Information Science 37(3):607–633.
• Gonzalez, V., Giraldo, R., Leiva, V. (2023). PLS1-MD: A partial least squares regression algorithm for solving missing data problems. Chemometrics and Intelligent Laboratory Systems 240:104876.
• Hamidi, F., Jerbi, H., Alharbi, H., Leiva, V., Popescu, D., Rajhi, W. (2023). Meta-heuristic solution for stability analysis of nonlinear systems using an intelligent algorithm with potential applications. Fractal and Fractional 7(1):78.
• Huerta, M., Leiva, V., Rojas, R., Wanke, P., Cabezas, X. (2023). A methodology for consolidation effects of inventory management with serially dependent random demand. Processes 11(7):2008.
• Korkmaz, M.C., Leiva, V., Martin-Barreiro, C. (2023). The continuous Bernoulli distribution: mathematical characterization, fractile regression, computational simulations, and applications. Fractal and Fractional 7(5):386.
• Leal, D., Jimenez, R., Riquelme, M., Leiva, V. (2023). Elliptical capital asset pricing models: Formulation, diagnostics, case study with chilean data, and economic rationale. Mathematics 11(6):1394.
• Leiva, V., dos Santos, R.A., Saulo, H., Marchant, C., Lio, Y. (2023). Bootstrap control charts for quantiles based on log-symmetric distributions with applications to monitoring of reliability data. Quality and Reliability Engineering International 39(1):1–24.
• Leiva, V., Mazucheli, M., Alves, B. (2023). A novel regression model for fractiles: Formulation, computational aspects, and applications to medical data Fractal and Fractional 7(2):169.
• Leiva, V., Alcudia, E., Montano, A., Castro, C. (2023). An epidemiological analysis for assessing and evaluating COVID-19 based on data analytics in Latin American countries. Biology 12(6):887.
• Liu, Y., Wang, J., Shi, D. Leiva, V., Liu, S. (2023). A score test for detecting extreme values in a vector autoregressive model. Journal of Statistical Computation and Simulation 93(15):2751–2779.
• Manchini, C., Ospina, R., Leiva, V., Martin-Barreiro, C. (2023). A new approach to data differential privacy based on regression models under heteroscedasticity with applications to machine learning repository data. Information Sciences 627:280–300.
• Martin-Barreiro, C., Cabezas, X., Leiva, V., Ramos de Santis, P., Ramirez-Figueroa, J.A., Delgado, E., (2023). Statistical characterization of vaccinated cases and deaths due to COVID-19: Methodology and case study in South America. AIMS Mathematics 8(10):22693–22713.
• Mazucheli, M., Korkmaz, M.C., Menezes, A.F.B., Leiva, V. (2023). The unit generalized half-normal quantile regression model: Formulation, estimation, diagnostics, and numerical applications. Soft Computing 27:279–295.
• Ortiz, S., Catano-Lopez, A., Velasco, H., Restrepo, J.P., Perez-Coronado, A., Laniado, H., Leiva, V. (2023). Identification of hazard and socio-demographic patterns of dengue infections in a Colombian subtropical region from 2015 to 2020: Cox regression models and statistical analysis. Tropical Medicine and Infectious Disease 8(1):30.
• Ospina, R., Baltazar, S.G.F., Leiva, V., Figueroa-Zúñiga, J., Castro, C. (2023). Robust semi-parametric inference for two-stage production models: A beta regression approach. Symmetry 5(7):1362.
• Ospina, R., Ferreira, A.G.O., de Oliveira, H.M., Leiva, V., Castro, C. (2023). On the use of machine learning techniques and non-invasive indicators for classifying and predicting cardiac disorders. Biomedicines 11(10):2604.
• Ospina, R., Gondim, J.A.M., Leiva, V., Castro, C. (2023). An overview of forecast analysis with ARIMA models during the COVID-19 pandemic: Methodology and case study in Brazil. Mathematics 11(14):3069.
• Perdomo-Arguello, F.J., Ortega-Gomez, E., Galindo-Villardón, P., Leiva, V., Vicente-Galindo, P. (2023). STATIS multivariate three-way method for evaluating quality of life after corneal surgery: Methodology and case study in Costa Rica. Mathematical Biosciences and Engineering 20(4): 6110–6133.
• Rahman, M.Z.U., Leiva, V., Martin-Barreiro, C., Mahmood, I., Usman, M., Rizwan, M. (2023). Fractional transformation-based intelligent H-infinity controller of a direct current servo motor. Fractal and Fractional 7(1):29.
• Rahman, M.Z.U., Rizwan, M., Liaquat, R., Leiva, V., Muddasar, M. (2023) Model-based optimal and robust control of renewable hydrogen gas production in a fed-batch microbial electrolysis cell. International Journal of Hydrogen Energy 48(79):30685–30701.
• Rahman, M.Z.U., Akbar, M.A., Leiva, V., Ghaffar, A., Martin-Barreiro, C., Waleed, A., Cabezas, X., Castro, C. (2023). Fractional transformation-based decentralized robust control of a coupled-tank system for industrial applications. Fractal and Fractional 7(8):590.
• Rahman, M.Z.U., Akbar, M.A., Leiva, V., Tahir, A., Riaz, M.T., Martin-Barreiro, C. (2023). An intelligent health monitoring and diagnosis system based on the internet of things and fuzzy logic for cardiac arrhythmia COVID-19 patients. Computers in Biology and Medicine 154:106583.
• Sanchez, J.D., Rêgo, Ospina, R., Leiva, V., Chesneau, C., Castro, C. (2023). Similarity-based predictive models: Sensitivity analysis and a biological application with multi-attributes. Biology 12(7):959.
• Sardar, I., Akbar, M.A., Leiva, V., Alsanad, A., Mishra, P. (2023). Machine learning and automatic ARIMA/Prophet models-based forecasting of COVID-19: methodology, evaluation, and case study in SAARC countries. Stochastic Environmental Research and Risk Assessment 37:345–359.
• Saulo, H., Vila, R., Bittencourt, V.L., Leao, J., Leiva, V., Christakos, G. (2023). On a new extreme value distribution: characterization, parametric quantile regression, and application to extreme air pollution events. Stochastic Environmental Research and Risk Assessment 37:1119–1136.
• Saulo, H., Vila, R., Borges, G.V., Bourguignon, M., Leiva, V., Marchant, C. (2023). Modeling income data via new parametric quantile regressions: formulation, computational statistics, and application. Mathematics 11(2):448.
• Silva, G., Leite, A., Ospina, R., Leiva, V., Figueroa-Zúñiga, J., Castro, C. (2023). Biased random-key genetic algorithm with local search applied to the maximum diversity problem. Mathematics 11(14):3072.
• Taylan, O., Alkabaa, A.S., Alqabbaa, H.S., Pamukcu, E., Leiva, V. (2023). Early prediction in classification of cardiovascular diseases with machine learning, neuro-fuzzy and statistical methods. Biology 12(1):1179.
• Trojovska, E., Dehghani, M., Leiva, V. (2023). Drawer algorithm: A new metaheuristic approach for solving optimization problems in engineering. Biomimetics 8(2):239.
• Umapathy, U., Palanivelu, B., Leiva, V., Dhandapani, P.B., Castro, C. (2023). On fuzzy and crisp solutions of a novel fractional pandemic model. Fractal and Fractional 12(7):959.

2022

• Liu, S., Leiva, V., Zhuang, D., Ma, T., Figueroa-Zúñiga, J. (2022). Matrix differential calculus with applications in the multivariate linear model and its diagnostics. Journal of Multivariate Analysis 188:104849.
• Leiva, V., Ruggeri, F., Laniado, H. (2022). Bayesian computation in a Birnbaum-Saunders reliability model with applications to fatigue data. In Lio, Y., Ng, T.K.H., Tsai, T.R., Chen, D.G. (eds.) Bayesian Computation in Reliability and Survival Analysis. Springer, Cham, Switzerland, pp. 41-55.
• Alshammari, O., Kchaou, M., Jerbi, H., Aoun, S.B., Leiva, V. (2022). A fuzzy design for a sliding mode observer-based control scheme of Takagi-Sugeno Markov jump systems under imperfect premise matching with bio-economic and industrial applications. Mathematics 10(18):3309.
• Alkadya, W., ElBahnasy, K., Leiva, V., Gad, W. (2022). Classifying COVID-19 based on amino acids encoding with machine learning algorithms. Chemometrics and Intelligent Laboratory Systems 224:104535.
• Alomari, M.W., Chesneau, C., Leiva, V. (2022). Grüss-type inequalities for vector-valued functions. Mathematics 10(9):1535.
• Alomari, M.W., Chesneau, C., Leiva, V., Martin-Barreiro, C. (2022). Improvement of some Hayashi–Ostrowski type inequalities with applications in a probability setting. Mathematics 10(13):2316.
• Bustos, N., Tello, M., Droppelmann, G., Garcia, N., Feijoo, F., Leiva, V. (2022). Machine learning techniques as an efficient alternative diagnostic tool for COVID-19 cases. Signa Vitae 18(1):23-33.
• Chaouch, H., Charfeddine, S., Aoun, S.B., Jerbi, H., Leiva, V. (2022). Multiscale monitoring using machine learning methods: New methodology and an industrial application to a photovoltaic system. Mathematics 10(6):890.
• Charfeddine, S., Alharbi, H., Jerbi, H., Kchaou, M., Abbassi, R., Leiva, V. (2022). A stochastic optimization algorithm to enhance controllers of photovoltaic systems. Mathematics 10(12), 2128.
• Couri, L., Ospina, R., da Silva, G., Leiva, V., Figueroa-Zúñiga, J. (2022). A study on computational algorithms in the estimation of parameters for a class of beta regression models. Mathematics 10(3):299.
• de Oliveira, H.M., Ospina, R., Leiva, V., Martin-Barreiro, C., Chesneau, C. (2022). A new wavelet-based privatization mechanism for probability distributions. Sensors 22(10):3743. (Listen to the audio abstract.)
• Delgado, E., Cabezas, X., Martin-Barreiro, C., Leiva, V., Rojas, F. (2022). An equity-based optimization model to solve the location problem for healthcare centers applied to hospital beds and COVID-19 vaccination. Mathematics 10(11):1825.
• Dhandapani, P.B., Thippan, J., Martin-Barreiro, C., Leiva, V., Chesneau, C. (2022). Numerical solutions of a differential system considering a pure hybrid fuzzy neutral delay theory. Electronics 11(9):1478.
• Figueroa-Zúñiga, J., Bayes, C,L., Leiva, V., Liu, S. (2022). Robust beta regression modeling with errors-in-variables: A Bayesian approach and numerical applications. Statistical Papers 63:919-942.
• Figueroa-Zúñiga, J., Niklitschek, S., Leiva, V., Liu, S. (2022). Modeling heavy-tailed bounded data by the trapezoidal beta distribution with applications. REVSTAT - Statistical Journal 20(3):387-404.
• Gomez-Deniz, E., Leiva, V., Calderin-Ojeda, E., Chesneau, C. (2022). A novel claim size distribution based on a Birnbaum-Saunders and gamma mixture capturing extreme values in insurance: Estimation, regression, and applications. Computational and Applied Mathematics 41:171.
• Jerez-Lillo, N., Lagos Alvarez, B., Munoz Gutierrez, J., Figueroa-Zúñiga, J., Leiva, V. (2022). A statistical analysis for the epidemiological surveillance of COVID-19 in Chile. Signa Vitae 18(2):19-30.
• Lagos-Alvarez, B., Jerez-Lillo, N., Navarrete, J.P., Figueroa-Zúñiga, J., Leiva, V. (2022). A type I generalized logistic distribution: Solving its estimation problems with a Bayesian approach and numerical applications based on simulated and engineering data. Symmetry 14(4):655.
• Liu, Y., Mao, C., Leiva, V., Liu, S., Silva Neto, W.A. (2022). Asymmetric autoregressive models: Statistical aspects and a financial application under COVID-19 pandemic. Journal of Applied Statistics 49(5):1323-1347.
• Ma, L., Zhang, Y., Leiva, V., Liu, S., Ma, T. (2022). A new clustering algorithm based on a radar scanning strategy with applications to machine learning data. Expert Systems with Applications 191:116143.
• Marchant, C., Leiva, V., Saulo, H., Vila, R. (2022). Multivariate methods to monitor the risk of critical episodes of environmental contamination using an asymmetric distribution with data of Santiago, Chile. In Roshni, T., Samui, P., Tien, D., Dookie, B., Rahman, K. (eds.) Risk, Reliability and Sustainable Remediation in the Field of Civil and Environmental Engineering. Elsevier, Amsterdam, Netherlands, Chapter 20, pp. 359-378.
• Marchant, C., Leiva, V. (2022). Chilean Journal of Statistics: Thirty eight years generating quality knowledge. Chilean Journal of Statistics 13(1):1-2.
• Mazucheli, M., Alves, B., Menezes, A.F.B., Leiva, V. (2022). An overview on parametric quantile regression models and their computational implementation with applications to biomedical problems including COVID-19 data. Computer Methods and Programs in Biomedicine 221:106816.
• Mazucheli, M., Alves, B., Korkmaz, M.C., Leiva, V. (2022). Vasicek quantile and mean regression models for bounded data: New formulation, mathematical derivations, and numerical applications. Mathematics 10(9):1389.
• Nor, A.K.M., Pedapati, S.R., Muhammad, M., Leiva, V. (2022). Abnormality detection and failure prediction using explainable Bayesian deep learning: Methodology and case study with industrial data. Mathematics 10(4):554.
• Ospina, R., Leite, A., Ferraz, C., Magalhaes, A., Leiva, V. (2022). Data-driven tools for assessing and combating COVID-19 out-breaks based on analytics and statistical methods in Brazil. Signa Vitae 18(3):18-32.
• Rahman, M.Z.U., Liaquat, R., Rizwan, M., Martin-Barreiro, C., Leiva, V. (2022). A robust controller of a reactor electromicrobial system based on a structured fractional transformation for renewable energy Fractal and Fractional 6(12), 736.
• Rangasamy, M., Chesneau, C., Martin-Barreiro, C., Leiva, V. (2022). On a novel dynamics of SEIR epidemic models with a potential application to COVID-19. Symmetry 14(7):1436.
• Rojas, F., Wanke, P., Leiva, V., Huerta, M., Martin-Barreiro, C. (2022). Modeling inventory cost savings and supply chain success factors: A hybrid robust compromise multi-criteria approach. Mathematics 10(16):2911.
• Saulo, H., Dasilva, A., Leiva, V., Sanchez, L., de la Fuente-Mella, H. (2022). Log‐symmetric quantile regression models. Statistica Neerlandica 76(2):124-163.
• Sharma P, Singh AK, Leiva, V., Cabezas, X., Martin-Barreiro, C. (2022). Modern multivariate statistical methods for evaluating the impact of WhatsApp on academic performance: Methodology and case study in India. Applied Sciences 12(12):6141.
• Zeidabadi FA, Dehghani M, Trojovsky P, Hublovsky S, Leiva, V., Dhiman G. (2022). Archery algorithm: A novel stochastic approach for solving optimization problems. Computers, Materials and Continua 72(1):399-416.

2021

• Ayala, M., de la Fuente-Mella, H., Leiva, V., Vallina-Hernandez, A.M. (2021). Trade gravity models for the factors affecting foreign trade in the political-administrative regions of Chile. In Goonetilleke, R.S., Xiong, S., Kalkis, H., Roja, Z., Karwowski, W., Murata, A. (eds.) Advances in Physical, Social and Occupational Ergonomics. Springer, Cham, Switzerland, pp. 495-503.
• Cabezas, X., Martin-Barreiro, C., Garcia, S., Delgado, E., Leiva, V. (2021). A two-stage location problem with order solved using a Lagrangian algorithm and stochastic programming for a potential use in COVID-19 vaccination based on sensor-related data. Sensors 21(16):5352.
• Calle-Saldarriaga, A., Laniado, H., Zuluaga, F., Leiva, V. (2021). Homogeneity tests for functional data based on depth-depth plots with chemical applications. Chemometrics and Intelligent Laboratory Systems 219:104420.
• Cavieres, M.F., Leiva, V., Marchant, C., Rojas, F. (2021). A methodology for data-driven decision making in the monitoring of particulate matter environmental contamination in Santiago of Chile. Reviews of Environmental Contamination and Toxicology 250:45-67.
• Chahuan-Jimenez, K., Rubilar, R., de la Fuente-Mella, H., Leiva, V. (2021). Breakpoint analysis for the COVID-19 pandemic and its effect on the stock markets. Entropy 23(1):100.
• Costa, E., Santos-Neto, M., Leiva, V. (2021). Optimal sample size for the Birnbaum-Saunders distribution under decision theory with symmetric and asymmetric loss functions. Symmetry 13(6):926.
• de la Fuente-Mella, H., Rubilar, R., Chahuan-Jimenez, K., Leiva, V. (2021). Modeling COVID-19 cases statistically and evaluating their effect on the economy of countries. Mathematics 9(13):1558.
• Doumari, S.A., Givi, H., Dehghani, M., Montazeri, Z., Leiva, V., Guerrero, J.M. (2021). A new two-stage algorithm for solving optimization problems. Entropy 23(4):491.
• Leiva, V., Saulo, H., Souza, R., Aykroyd, R.G., Vila, R. (2021). A new BISARMA time series model for forecasting mortality using weather and particulate matter data. Journal of Forecasting 40(2):346-364.
• Leiva, V. Marchant, C. (2021). Chilean Journal of Statistics: An open-access, indexed, and free forum for statistical publications from worldwide. Chilean Journal of Statistics 12(2):123-124.
• Mahdi, E., Leiva, V., Mara’Beh, S., Martin-Barreiro, C. (2021). A new approach to predicting cryptocurrency returns based on the gold prices with support vector machines during the COVID-19 pandemic using sensor-related data. Sensors 21(18):6319.
• Marchant, C., Leiva, V. (2021). Chilean Journal of Statistics: A forum for the Americas and the World in COVID-19 pandemic. Chilean Journal of Statistics 12(1):1-2.
• Martin-Barreiro, C., Ramirez-Figueroa, J.A., Cabezas, X., Leiva, V., Martin-Casado, A., Galindo-Villardón, M.P. (2021). A new algorithm for computing disjoint orthogonal components in the parallel factor analysis model with simulations and applications to real-world data. Mathematics 9(17):2058.
• Martin-Barreiro, C., Ramirez-Figueroa, J.A., Nieto, A.B., Leiva, V., Martin-Casado, A., Galindo-Villardón, M.P. (2021). A new algorithm for computing disjoint orthogonal components in the three-way Tucker model. Mathematics 9(3):203.
• Martin-Barreiro, C., Ramirez-Figueroa, J.A., Cabezas, X., Leiva, V., Galindo-Villardón, M.P. (2021). Disjoint and functional principal component analysis for infected cases and deaths due to COVID-19 in South American countries with sensor-related data. Sensors 21(12):4094.
• Martinez, J.L., Leiva, V., Saulo, H., Liu, S. (2021). Estimating the covariance matrix of the coefficient estimator in multivariate partial least squares regression with chemical applications Chemometrics and Intelligent Laboratory Systems 214:104328.
• Mazucheli, M., Leiva, V., Alves, B., Menezes, A.F.B. (2021). A new quantile regression for modeling bounded data under a unit Birnbaum–Saunders distribution with applications in medicine and politics. Symmetry 13(4): 682.
• Melendez, R., Giraldo, R., Leiva, V. (2021). Sign, Wilcoxon and Mann-Whitney tests for functional data: an approach based on random projections. Mathematics 9(1):44.
• Nor, A.K.M., Pedapati, S.R., Muhammad, M., Leiva, V. (2021). Overview of explainable artificial intelligence for prognostic and health management of industrial assets based on preferred reporting items for systematic reviews and meta-analyses. Sensors 21(23):8020.
• Palacios, C.A., Reyes-Suarez, J.A., Bearzotti, L.A., Leiva, V., Marchant, C. (2021). Knowledge discovery for higher education student retention based on data mining: Machine learning algorithms and case study in Chile. Entropy 23(4):485.
• Puentes, R., Marchant, C., Leiva, V., Figueroa-Zúñiga, J., Ruggeri, F. (2021). Predicting PM2.5 and PM10 levels during critical episodes management in Santiago, Chile, with a bivariate Birnbaum-Saunders log-linear model. Mathematics 9(6):645.
• Ramirez-Figueroa, J.A., Martin-Barreiro, C., Nieto, A.B., Leiva, V., Galindo-Villardón, M.P. (2021). A new principal component analysis by particle swarm optimization with an environmental application for data science. Stochastic Environmental Research and Risk Assessment 35:1969-1984.
• Reyes, J., Arrue, J., Leiva, V., Martin-Barreiro, C. (2021). A new Birnbaum-Saunders distribution and its mathematical features applied to bimodal real-world data from environment and medicine. Mathematics 9(16):1891.
• Rodriguez, M., Leiva, V., Huerta, M., Lillo, C., Tapia, A., Ruggeri, F. (2021). An asymmetric area model-based approach for small area estimation applied to survey data. REVSTAT - Statistical Journal 19(3):399-420.
• Rojas, F., Leiva, V., Huerta, M., Martin-Barreiro, C. (2021). Lot-size models with uncertain demand considering its skewness/kurtosis and stochastic programming applied to hospital pharmacy with sensor-related COVID-19 data. Sensors 21(15):5198.
• Sanchez, L., Leiva, V., Galea, M., Saulo, H. (2021). Birnbaum-Saunders quantile regression and its diagnostics with application to economic data. Applied Stochastic Models in Business and Industry 37:53-73.
• Sanchez, L., Leiva, V., Marchant, C., Saulo, H., Sarabia, J.M. (2021). A new quantile regression model and its diagnostic analytics for a Weibull distributed response with applications. Mathematics 9(21):2768.
• Saulo, H., Souza R, Vila, R., Leiva, V., Aykroyd, R.G. (2021). Modeling mortality based on pollution and temperature using a new Birnbaum-Saunders autoregressive moving average structure with regressors and related-sensors data. Sensors 21(19):6518.
• Saulo, H., Leao, J., Leiva, V., Vila, R., Tomazella, V. (2021). A bivariate fatigue-life regression model and its application to fracture of metallic tools. Brazilian Journal of Probability and Statistics 35(1):119-137.
• Velasco, H., Laniado, H., Toro, M., Catano-Lopez, A., Leiva, V., Lio, Y. (2021). Modeling the risk of infectious diseases transmitted by Aedes aegypti using survival and aging statistical analysis with a case study in Colombia. Mathematics 9(13):1488.

2020

• Arrue J, Arellano R, Gomez HW, Leiva, V. (2020). On a new type of Birnbaum-Saunders models and its inference and application to fatigue data. Journal of Applied Statistics 47(13-15):2690–2710.
• Avila, J.L., Huerta, M., Leiva, V., Riquelme, M., Trujillo, L. (2020). The Fay-Herriot model in small area estimation: EM algorithm and application to official data. REVSTAT - Statistical Journal 18(5):613-635.
• Carrasco, J.M.F., Figueroa-Zúñiga, J., Leiva, V., Riquelme, M., Aykroyd, R.G. (2020). An errors-in-variables model based on the Birnbaum-Saunders distribution and its diagnostics with an application to earthquake data. Stochastic Environmental Research and Risk Assessment 34:369-380.
• Castro-Kuriss, C., Huerta, M., Leiva, V., Tapia, A. (2020). On some goodness-of-fit tests and their connection to graphical methods with uncensored and censored data. In Xu J, Ahmed SE, Duca G, Cooke FL (eds.) Management Science and Engineering Management. Springer-Verlag, Berlin, Germany, pp 157-183.
• Dasilva, A., Dias, R., Leiva, V., Marchant, C., Saulo, H. (2020). Birnbaum-Saunders regression models: A comparative evaluation of three approaches. Journal of Statistical Computation and Simulation 90(14):2552-2570.
• de la Fuente-Mella, H., Rojas Fuentes, J.L., Leiva, V. (2020). Econometric modeling of productivity and technical efficiency in the Chilean manufacturing industry. Computers & Industrial Engineering 139:105793.
• Desousa, M., Saulo, H., Leiva, V., Santos-Neto, M. (2020). On a new mixture-based regression model: simulation and application to data with high censoring. Journal of Statistical Computation and Simulation 90(16):2861-2877.
• Giraldo, R., Herrera, L., Leiva, V. (2020). Cokriging prediction using as secondary variable a functional random field with application in environmental pollution. Mathematics 8(8):1305.
• Huerta, M., Leiva, V., Marchant, C., Rodriguez, M. (2020) Partial least squares models and their formulations, diagnostics and applications to spectroscopy. In Xu J, Ahmed SE, Duca G, Cooke FL (eds.) Management Science and Engineering Management. Springer-Verlag, Berlin, Germany, pp 470-495.
• Leiva, V., Sanchez, L., Galea, M., Saulo, H. (2020) Global and local diagnostic analytics for a geostatistical model based on a new approach to quantile regression. Stochastic Environmental Research and Risk Assessment 34:1457-1471.
• Leiva, V., Marchant, C., (2020) Confirming our international presence with publications and submissions from all continents in COVID-19 pandemic. Chilean Journal of Statistics 11(2):69-72.
• Liu, Y., Mao, G., Leiva, V., Liu, S., Tapia, A. (2020) Diagnostic analytics for an autoregressive model under the skew-normal distribution. Mathematics 8(5):693.
• Marchant, C., Leiva, V. (2020) Starting a new decade of the Chilean Journal of Statistics in COVID-19 pandemic times. Chilean Journal of Statistics 11(1):1-2.
• Martinez-Florez, G., Leiva, V., Gomez-Deniz, E., Marchant, C. (2020) A family of skew-normal distributions for modeling proportions and rates with zeros/ones excess. Symmetry 12(9):1439.
• Sanchez, L., Leiva, V., Galea, M., Saulo, H. (2020) Birnbaum-Saunders quantile regression models with application to spatial data. Mathematics 8(6):1000.
• Saulo, H., Leao, J., Vila, R., Leiva, V., Tomazella, V. (2020) On mean-based bivariate Birnbaum-Saunders distributions: properties, inference and application. Communications in Statistics: Theory and Methods 49(24):6032-6056.
• Seijas-Macias, A., Oliveira, A., Oliveira, T., Leiva, V. (2020) Approximating the distribution of the product of two normally distributed random variables. Symmetry 12(8):1201.
• Tapia, A., Giampaoli, V., Leiva, V., Lio, Y. (2020) Data-Influence analytics in predictive models applied to asthma disease. Mathematics 8(9):1587.
• Tapia, A., Leiva, V., Galea, M., Werneck, R. (2020) On a logistic regression model with random intercept: diagnostic analytics, simulation and biological application. Journal of Statistical Computation and Simulation 90(13):2354-2383.
• Velasco, H., Laniado, H., Toro, M., Leiva, V., Lio, Y. (2020) Robust three-step regression based on comedian and its performance in cell-wise and case-wise outliers. Mathematics 8(8):1259.

2019

• Leiva, V. (2019) An interview with Sam. C. Saunders. Applied Stochastic Models in Business and Industry 35(1):133-137.
• Athayde, E., Azevedo A, Barros, M., Leiva, V. (2019) Failure rate of Birnbaum-Saunders distributions: shape, change-point, estimation and robustness. Brazilian Journal of Probability and Statistics 33(2):301-328
• Aykroyd, R.G., Leiva, V., Ruggeri, F (2019) Recent developments of control charts, identification of big data sources and future trends of current research. Technological Forecasting & Social Change 144:221-232.
• Castro-Kuriss, C., Huerta, M., Leiva, V., Tapia, A. (2019) On some goodness-of-fit tests and their connection to graphical methods with uncensored and censored data. Springer, Germany.
• Cysneiros FJA, Leiva, V., Liu, S., Marchant, C., Scalco P (2019) A Cobb-Douglas type model with stochastic restrictions: formulation, local influence diagnostics and data analytics in economics. Quality & Quantity 53:1693-1719.
• Huerta, M., Leiva, V., Liu, S., Rodriguez, M., Villegas D (2019) On a partial least squares regression model for asymmetric data with a chemical application in mining. Chemometrics and Intelligent Laboratory Systems 190:55-68.
• Huerta, M., Leiva, V., Marchant, C., Rodriguez, M. (2019) Partial least squares models and their formulations, diagnostics and applications to spectroscopy. Springer, Germany.
• Leiva, V., Marchant, C., Ruggeri, F., Saulo, H. (2019) Statistical quality control and reliability analysis using the Birnbaum-Saunders distribution with industrial applications. In Lio Y, Ng TKH, Tsai T-R, Chen D-G (eds.) Statistical Quality Technologies: Theory and Practice. Springer, Cham, Switzerland, pp. 21-53.
• Leiva, V. (2019) “Chilean Journal of Statistics” Ten years after its launch: A message from the new Editor-in-Chief Chilean Journal of Statistics 10:1-2.
• Leiva, V., Lillo, C., Gomes MI, Ferreira M (2019) Discussion of "Birnbaum-Saunders distribution: A review of models, analysis, and applications" and a novel financial extreme value data analytics from natural disasters. Applied Stochastic Models in Business and Industry 35(1):90-95.
• Leiva, V., Aykroyd, R.G., Marchant, C. (2019) Discussion of "Birnbaum-Saunders distribution: A review of models, analysis, and applications" and a novel multivariate data analytics for an economics example in the textile industry. Applied Stochastic Models in Business and Industry 35(1):112-117.
• Leiva, V. (2019) "Chilean Journal of Statistics'': An international scientific forum committed to gender equality, open access, and the new era of information. Chilean Journal of Statistics 10:95-98.
• Marchant, C., Leiva, V., Christakos G, Cavieres, M.F. (2019). Monitoring urban environmental pollution by bivariate control charts: new methodology and case study in Santiago, Chile. Environmetrics 30:e2551.
• Martinez S, Giraldo, R., Leiva, V. (2019). Birnbaum-Saunders functional regression models for spatial data. Stochastic Environmental Research and Risk Assessment 33(10):1765-1780.
• Ponce, J., Latin, C., Leiva, V., Cortes, G., Rodriguez, F., Jimenez, C.E. (2019). Non-pharmacological motor-cognitive treatment to improve the mental health of elderly adults Revista da Associacao Medica Brasileira 65(3):394-403
• Rojas, F., Leiva, V., Wanke, P., Lillo, C., Pascual, J. (2019). Modeling lot-size with time-dependent demand based on stochastic programming and case study of drug supply in Chile. Plos One 14(3):e0212768.
• Saulo, H., Leao, J., Leiva, V., Aykroyd, R.G. (2019). Birnbaum-Saunders autoregressive conditional duration models applied to high-frequency financial data. Statistical Papers 60:1605-1629.
• Tapia, A., Giampaoli, V., Diaz, M.P., Leiva, V. (2019). Sensitivity analysis of longitudinal count responses: A local influence approach and application to medical data. Journal of Applied Statistics 46(6):1021-1042.
• Tapia, A., Leiva, V., Diaz, M.P., Giampaoli, V. (2019). Influence diagnostics in mixed effects logistic regression models. TEST 28:920-942.
• Ventura, M., Saulo, H., Leiva, V., Monsueto, S. (2019). Log-symmetric regression models: information criteria, application to movie business and industry data with economic implications. Applied Stochastic Models in Business and Industry 35(4):963-977.

2018

• Leiva, V., Marchant, C (2018) Multivariate generalized Birnbaum-Saunders models applied to case studies in bio-engineering and industry. In Oliveira T, Kitsos C, Oliveira A, Grilo LM (eds.) Recent Studies on Risk Analysis and Statistical Modeling. Springer, Switzerland, pp. 283-302.
• Aykroyd, R.G., Leiva, V., Marchant, C. (2018) Multivariate Birnbaum-Saunders distributions: Modelling and applications. Risks 6(1):21.
• Barros, M., Galea, M., Leiva, V., Santos-Neto, M. (2018) Generalized tobit models: Diagnostics and application in econometrics. Journal of Applied Statistics 45:145-167.
• Desousa M, Saulo, H., Leiva, V., Scalco P (2018) On a tobit-Birnbaum-Saunders model with an application to medical data. Journal of Applied Statistics 45(5):932-955.
• Fierro, R., Leiva, V., Maidana JP (2018) Cumulative damage and times of occurrence for a multicomponent system: A discrete time approach. Journal of Multivariate Analysis 168:323-333.
• Garcia-Papani F, Leiva, V., Uribe-Opazo MA, Aykroyd, R.G. (2018) Birnbaum-Saunders spatial regression models: Diagnostics and application to chemical data Chemometrics and Intelligent Laboratory Systems 177(15):114-128.
• Garcia-Papani F, Leiva, V., Ruggeri, F., Uribe-Opazo MA (2018) Kriging with external drift in a Birnbaum-Saunders geostatistical model. Stochastic Environmental Research and Risk Assessment 32(6):1517-1530.
• Huerta, M., Leiva, V., Lillo, C., Rodriguez, M. (2018) A beta partial least squares regression model: Diagnostics and application to mining industry data. Applied Stochastic Models in Business and Industry 34(3):305-321.
• Leao, J., Leiva, V., Saulo, H., Tomazella, V. (2018) Incorporation of frailties into a cure rate regression model and its diagnostics and application to melanoma data Statistics in Medicine 37(9):4421-4440.
• Leao, J., Leiva, V., Saulo, H., Tomazella, V. (2018) A survival model with Birnbaum-Saunders frailty for uncensored and censored cancer data. Brazilian Journal of Probability and Statistics 32(4):707-729.
• Lillo, C., Leiva, V., Nicolis O, Aykroyd, R.G. (2018) L-moments of the Birnbaum-Saunders distribution and its extreme value version: Estimation, goodness of fit and application to earthquake data. Journal of Applied Statistics 45(2):187-209.
• Marchant, C., Leiva, V., Cysneiros FJA, Liu, S. (2018) Robust multivariate control charts based on Birnbaum-Saunders distributions. Journal of Statistical Computation and Simulation 88(1):182-202.
• Martinez JL, Leiva, V., Ruggeri, F., Saulo, H., Arteaga G (2018) A new estimator for the covariance of the PLS coefficients estimator with applications to chemical data. Journal of Chemometrics 32(12):1-17(e3069)

2017

• Leiva, V., Ruggeri, F., Saulo, H., Vivanco, JF (2017) A methodology based on the Birnbaum-Saunders distribution for reliability analysis applied to nano-materials. Reliability Engineering & System Safety 157:192-201.
• Leiva, V., Saulo, H (2017) Environmental applications based on Birnbaum-Saunders models. In Adhikari, A, Adhikari MR, Chaubey YP (eds.) Mathematical and Statistical Applications in Life Sciences and Engineering. Springer, Singapore, pp 283-304.
• Leiva, V., Lillo, C., Morras, R On a business confidence index and its analytics: A Chilean case. In Oliveira T, Kitsos C, Oliveira A, Grilo LM (eds.) Recent Studies on Risk Analysis and Statistical Modeling. Springer, Switzerland, pp. 61-78.
• Leiva, V. The Birnbaum-Saunders Distribution. Academic Press, New York.
• Leiva, V. Business intelligence and its connection with the area of services. Center of Experiences and Services: Universidad Adolfo Ibanez, April, 2016, 1-9.
• Leiva, V., Vivanco, J.F. (2017) Fatigue models. Wiley StatsRef: Statistics Reference Online 1-10.
• Bourguignon, M., Leao, J., Leiva, V., Santos-Neto, M. (2017) The transmuted Birnbaum-Saunders distribution. REVSTAT - Statistical Journal 15(4):601-628.
• Fierro, R., Leiva, V. (2017) A stochastic methodology for risk assessment of a large earthquake when a long time has elapsed. Stochastic Environmental Research and Risk Assessment 31(9):2327-2336.
• Garcia-Papani F, Uribe-Opazo MA, Leiva, V., Aykroyd, R.G. (2017) Birnbaum-Saunders spatial modelling and diagnostics applied to agricultural engineering data. Stochastic Environmental Research and Risk Assessment 31(1):105-124.
• Leao, J., Leiva, V., Saulo, H., Tomazella, V. (2017) Birnbaum-Saunders frailty regression models: Diagnostics and application to medical data. Biometrical Journal 59(2):291-314.

2016

• Leiva, V., Ferreira M, Gomes MI, Lillo, C. (2016) Extreme value Birnbaum-Saunders regression models applied to environmental data. Stochastic Environmental Research and Risk Assessment 30(3):1045-1058.
• Leiva, V., Liu, S., Shi L, Cysneiros FJA (2016) Diagnostics in elliptical regression models with stochastic restrictions applied to econometrics. Journal of Applied Statistics 43(4):627-642.
• Leiva, V., Santos-Neto, M., Cysneiros FJA, Barros, M. (2016) A methodology for stochastic inventory models based on a zero-adjusted Birnbaum-Saunders distribution. Applied Stochastic Models in Business and Industry 32(1):74-89.
• Khosravi M, Leiva, V., Jamalizadeh A, Porcu E (2016) A nonlinear Birnbaum-Saunders model based on a bivariate construction and its characteristics. Communications in Statistics: Theory and Methods 45(3):772-793.
• Liu, S., Leiva, V., Ma, T., Welsh, A. (2016) Influence diagnostic analysis in the possibly heteroskedastic linear model with exact restrictions. Statistical Methods and Applications 25(2):227-249.
• Marchant, C., Leiva, V., Cysneiros, FJA (2016) A multivariate log-linear model for Birnbaum-Saunders distributions. IEEE Transactions on Reliability 65(2):816-827.
• Marchant, C., Leiva, V., Cysneiros, FJA, Vivanco, J.F. (2016) Diagnostics in multivariate Birnbaum-Saunders regression models. Journal of Applied Statistics 43(15):2829-2849.
• Rojas, F., Leiva, V. (2016) Inventory management in food companies with statistically dependent demand. Academia Revista Latinoamericana de Administracion 29(4):1-36.
• Santos-Neto, M., Cysneiros FJA, Leiva, V., Barros, M. (2016) Reparameterized Birnbaum-Saunders regression models with varying precision. Electronic Journal of Statistics 10:2825-2855.
• Wanke, P., Ewbank H, Leiva, V., Rojas, F. (2016) Inventory management for new products with triangularly distributed demand and lead-time. Computers & Operations Research 69:97-108.

2015

• Leiva, V., Saunders SC (2015) Cumulative damage models. Wiley StatsRef: Statistics Reference Online 1-10.
• Leiva, V., Marchant, C., Ruggeri, F., Saulo, H. (2015) A criterion for environmental assessment using Birnbaum-Saunders attribute control charts. Environmetrics 26(7):463-476.
• Leiva, V., Oliveira, A. (2015) np-charts for attribute control. Wiley StatsRef: Statistics Reference Online 1-8.
• Leiva, V., Oliveira, T. (2015) p-charts for attribute control. Wiley StatsRef: Statistics Reference Online 1-6.
• Leiva, V., Tejo M, Guiraud P, Schmachtenberg O, Orio P, Marmolejo F (2015) Modeling neural activity with cumulative damage distributions. Biological Cybernetics 109(4):421-433.
• Fierro, R., Leiva, V., Balakrishnan, N. (2015) Statistical inference on a stochastic epidemic model. Communications in Statistics: Simulation and Computation 44(9):2297-2314.
• Fierro, R., Leiva, V., Moeller, J. (2015) The Hawkes process with different exciting functions and its asymptotic behavior. Journal of Applied Probability 52(1):37-54.
• Rojas, F., Leiva, V., Wanke, P., Marchant, C. (2015) Optimization of contribution margins in food services by modeling independent component demand. Colombian Journal of Statistics 38(1):1-30.
• Sanchez, L., Leiva, V., Caro-Lopera FJ, Cysneiros FJA (2015) On matrix-variate Birnbaum-Saunders distributions and their estimation and application. Brazilian Journal of Probability and Statistics 29(4):790-812.
• Saulo, H., Leiva, V., Ruggeri, F. (2015) Monitoring environmental risk by a methodology based on control charts. In Kitsos, C., Oliveira, T.A., Rigas, A., Gulati, S. (eds.) Theory and Practice of Risk Assessment. Springer Proceedings in Mathematics and Statistics 136. Springer, Switzerland, pp 177-197.
• Wanke, P., Leiva, V. (2015) Exploring the potential use of the Birnbaum-Saunders distribution in inventory management. Mathematical Problems in Engineering Article ID 827246.

2014

• Leiva, V., Marchant, C., Saulo, H., Aslam M, Rojas, F. (2014) Capability indices for Birnbaum-Saunders processes applied to electronic and food industries. Journal of Applied Statistics 41(9):1881-1902.
• Leiva, V., Rojas, E., Galea, M., Sanhueza, A. (2014) Diagnostics in Birnbaum-Saunders accelerated life models with an application to fatigue data. Applied Stochastic Models in Business and Industry 30(2):115-131.
• Leiva, V., Santos-Neto, M., Cysneiros FJA, Barros, M. (2014) Birnbaum-Saunders statistical modelling: a new approach. Statistical Modelling 14(1):21-48.
• Leiva, V., Saulo, H., Leao, J., Marchant, C. (2014) A family of autoregressive conditional duration models applied to financial data. Computational Statistics and Data Analysis 79:175-191.
• Barros, M., Leiva, V., Ospina R, Tsuyuguchi A (2014) Goodness-of-fit tests for the Birnbaum-Saunders distribution with censored reliability data. IEEE Transactions on Reliability 63(2):543-554.
• Castro-Kuriss, C., Leiva, V., Athayde, E. (2014) Graphical tools to assess goodness-of-fit in non-location-scale distributions. Colombian Journal of Statistics (special issue on "Current Topics in Statistical Graphics") 37(2):341-365.
• Coelho J, Branco F, Oliveira TA, Leiva, V. (2014) A computational tool useful for simulating data from non-standard distributions. Biometrie und Medizinische Informatik 23:75-97.
• Frutos E, Galindo-Villardón MP, Leiva, V. (2014) An interactive biplot implementation in R for modeling genotype-by-environment interaction. Stochastic Environmental Research and Risk Assessment 28(7): 1629-1641.
• Nieto AB, Galindo-Villardón MP, Leiva, V., Vicente-Galindo P (2014) A methodology for biplots based on bootstrapping with R. Colombian Journal of Statistics (special issue on "Current Topics in Statistical Graphics") 37(2):367-397.
• Santos-Neto, M., Cysneiros FJA, Leiva, V., Barros, M. (2014) On a reparameterized Birnbaum-Saunders distribution and its moments, estimation and applications. REVSTAT - Statistical Journal 12(3):247-272 .

2013

• Leiva, V., Porcu E (2013) Discussion on experimental designs for identifying causal mechanisms: Part I. Journal of the Royal Statistical Society Series A 176:5-51.
• Fierro, R., Leiva, V., Ruggeri, F., Sanhueza, A. (2013). On a Birnbaum-Saunders distribution arising from a non-homogeneous Poisson process. Statistics and Probability Letters 83:1233-1239.
• Gomes, M.I., Ferreira, M., Leiva, V. (2013). The extreme value Birnbaum-Saunders model in athletics. Proceedings in 59th ISI World Statistics Congress STS084:2867-2872.
• Kelmansky, D., Martinez, E., Leiva, V. (2013). A new variance stabilizing transformation for gene expression data analysis. Statistical Applications in Genetics and Molecular Biology 12(6):653-666.
• Marchant, C., Bertin, K., Leiva, V. Saulo, H. (2013). Generalized Birnbaum-Saunders kernel density estimators and an analysis of financial data Computational Statistics and Data Analysis 63:1-15.
• Marchant, C., Leiva, V., Cavieres, M.F., Sanhueza, A. (2013). Air contaminant statistical distributions with application to PM10 in Santiago, Chile. Reviews of Environmental Contamination and Toxicology 223:1-31.
• Porcu, E., Leiva, V., (2013). Discussion on experimental designs for identifying causal mechanisms: Part II. Journal of the Royal Statistical Society Series A 176:5-51.
• Rojas, F., Leiva, V. Quijada, J., Fuentes, M. (2013). Optimization contribution margins of food service by adapting inventory management models. Global Conference on Business & Finance Proceedings 8(2):479-487.
• Saulo, H., Leiva, V., Ziegelmann, F.A., Marchant, C. (2013). A nonparametric method for estimating asymmetric densities based on skewed Birnbaum-Saunders distributions applied to environmental data. Stochastic Environmental Research and Risk Assessment 27:1479-1491.
• Vilca, F., Rodrigues-Motta M, Leiva, V. (2013). On a variance stabilizing model and its application to genomic data. Journal of Applied Statistics 40(11):2354-2371.

2012

• Athayde, E., Azevedo C, Leiva, V., Sanhueza, A. (2012) About Birnbaum-Saunders distributions based on the Johnson system. Communications in Statistics: Theory and Methods 41:2061-2079.
• Azevedo C, Leiva, V., Athayde, E., Balakrishnan, N. (2012) Shape and change point analyses of the Birnbaum-Saunders-t hazard rate and associated estimation. Computational Statistics and Data Analysis 56:3887-3897.
• Caro-Lopera FJ, Leiva, V., Balakrishnan, N. (2012) Connection between the Hadamard and matrix products with an application to a matrix-variate Birnbaum-Saunders distribution. Journal of Multivariate Analysis 104(1):126-139.
• Catalan, M., Galindo, M.P., Martin, J. Leiva, V. (2012) Integration methods of odds ratio based on meta-analysis using fixed and random effect models useful in public health. Colombian Journal of Statistics (special issue on biostatistics) 35(2):205-222.
• Ferreira, M., Gomes, M.I., Leiva, V. (2012) On an extreme value version of the Birnbaum-Saunders distribution. REVSTAT - Statistical Journal 10(2):181-210.
• Gomes, M.I., Ferreira, M., Leiva, V. (2012) The extreme value Birnbaum-Saunders model and its moments and application in biometry. Biometrical Letters 49(2): 81-94.
• Leiva, V., Ponce, M.G., Marchant, C., Bustos, O. (2012) Fatigue statistical distributions useful for modeling diameter and mortality of trees. Colombian Journal of Statistics 35(3):349-367.
• Paula, G.A., Leiva, V., Barros, M., Liu, S. (2012) Robust statistical modeling using the Birnbaum-Saunders-t distribution applied to insurance. Applied Stochastic Models in Business and Industry 28:16-34.
• Santos-Neto, M., Cysneiros, F.J.A. Leiva, V., Ahmed, S.E. (2012) On new parameterizations of the Birnbaum-Saunders distribution. Pakistan Journal of Statistics 28(1):1-26.

2011

• Leiva, V., Athayde, E., Azevedo, C., Marchant, C. (2011) Modeling wind energy flux by a Birnbaum-Saunders distribution with unknown shift parameter. Journal of Applied Statistics 38(12): 2819-2838.
• Leiva, V., Soto, G., Cabrera, E., Cabrera, G. (2011) New control charts based on the Birnbaum-Saunders distribution and their implementation. Colombian Journal of Statistics 34(1):147-176.
• Balakrishnan, N., Gupta, R. Kundu, D., Leiva, V., Sanhueza, A. (2011) On some mixture models based on the Birnbaum-Saunders distribution and associated inference. Journal of Statistical Planning and Inference 141(7):2175-2190.
• Castillo, N.O., Gomez, H.W., Leiva, V., Sanhueza, A. (2011) On the Fernandez-Steel distribution: Inference and application. Computational Statistics and Data Analysis 55(11):2951-2961.
• Riquelme, M., Leiva, V., Galea, M., Sanhueza, A. (2011) Influence diagnostics on the coefficient of variation of elliptically contoured distributions. Journal of Applied Statistics 38(3):513-532.
• Sanhueza, A., Leiva, V., López-Kleine, L. (2011) On the Student-t mixture inverse Gaussian model with an application to protein production. Colombian Journal of Statistics 34(1):177-195.
• Santana, L., Vilca, F., Leiva, V. (2011) Influence analysis in skew-Birnbaum-Saunders regression models and applications. Journal of Applied Statistics 38(8):1633-1649.
• Vilca, F., Santana, L., Leiva, V., Balakrishnan, N. (2011) Estimation of extreme percentiles in Birnbaum-Saunders distributions. Computational Statistics and Data Analysis 55(4):1665-1678.
• Villegas, C., Paula, G.A., Leiva, V. (2011) Birnbaum-Saunders mixed models for censored reliability data analysis. IEEE Transactions on Reliability 60(4):748-758.

2010

• Leiva, V., Sanhueza, A. Kotz, S., Araneda, N. (2010) A unified mixture model based on the inverse gaussian distribution. Pakistan Journal of Statistics 26(3):445-460.
• Leiva, V., Vilca, F., Balakrishnan, N., Sanhueza, A. (2010) A skewed sinh-normal distribution and its properties and application to air pollution. Communications in Statistics: Theory and Methods 39(3):426-443.
• Leiva, V., Sanhueza, A., Sen, P.K., Araneda, N. (2010) M-procedures in the general multivariate nonlinear regression model. Pakistan Journal of Statistics 26(1):1-13.
• Ahmed, S.E., Castro-Kuriss, C., Flores, E., Leiva, V., Sanhueza, A. (2010) A truncated version of the Birnbaum-Saunders distribution with an application in financial risk. Pakistan Journal of Statistics 26(1):293-311.
• Barros, M., Galea, M., Gonzalez, M., Leiva, V. (2010) Influence diagnostics in the tobit censored response model. Statistical Methods and Applications 19(3): 379-397.
• Castro-Kuriss, C., Kelmansky, D., Leiva, V., Martinez, E. (2010) On a goodness-of-fit test for normality with unknown parameters and type-II censored data. Journal of Applied Statistics 37(7):1193-1211.
• Kotz, S., Leiva, V., Sanhueza, A. (2010) Two new mixture models related to the inverse Gaussian distribution. Methodology and Computing in Applied Probability 12:199-212.
• Vilca, F., Sanhueza, A., Leiva, V., Christakos, G. (2010) An extended Birnbaum-Saunders model and its application in the study of environmental quality in Santiago, Chile. Stochastic Environmental Research and Risk Assessment 24(5):771-782.

2009

• Leiva, V., Sanhueza, A. Kelmansky, S., Martinez, E. (2009) On the glog-normal distribution and its association with the gene expression problem. Computational Statistics and Data Analysis 53(5):1613-1621.
• Leiva, V., Sanhueza, A., Angulo, J.M. (2009) A length-biased version of the Birnbaum-Saunders distribution with application in water quality. Stochastic Environmental Research and Risk Assessment 23:299-307.
• Balakrishnan, N., Leiva, V., Sanhueza, A., Cabrera, E. (2009) Mixture inverse Gaussian distribution and its transformations, moments and applications. Statistics 43:91-104.
• Balakrishnan, N., Leiva, V., Sanhueza, A., Vilca, F. (2009) Estimation in the Birnbaum-Saunders distribution based on scale-mixture of normals and the EM-algorithm. Statistics and Operations Research Transactions 33(2):171-192.
• Barros, M., Paula, G.A., Leiva, V. (2009) An R implementation for generalized Birnbaum-Saunders distributions. Computational Statistics and Data Analysis 53(5):1511-1528.
• Castro-Kuriss, C., Kelmansky, D., Leiva, V., Martinez, E. (2009) A new goodness-of-fit test for censored data with an application in monitoring processes. Communications in Statistics: Simulation and Computation 38(6):1161-1177.
• Guiraud, P., Leiva, V., Fierro, R. (2009) A non-central version of the Birnbaum-Saunders distribution for reliability analysis. IEEE Transactions on Reliability 58(1):152-160.
• Sanhueza, A., Leiva, V., Flores, E. (2009) On a length-biased life distribution based on the sinh-normal model. Journal of the Korean Statistical Society 38:323-330.
• Sanhueza, A., Sen, P.K., Leiva, V. (2009) A robust procedure in nonlinear models for repeated measurements. Communications in Statistics: Theory and Methods 38:138-155.

2008

• Leiva, V., Barros, M., Paula, G.A., Sanhueza, A. (2008) Generalized Birnbaum-Saunders distributions applied to air pollutant concentration. Environmetrics 19:235-249.
• Leiva, V., Hernandez, H, Sanhueza, A. (2008) An R package for a general class of inverse Gaussian distributions. Journal of Statistical Software 26(4):1-21.
• Leiva, V., Riquelme, M., Balakrishnan, N., Sanhueza, A. (2008) Lifetime analysis based on the generalized Birnbaum-Saunders distribution. Computational Statistics and Data Analysis 52(4):2079-2097.
• Leiva, V., Sanhueza, A., Sen, P.K., Paula, G.A. (2008) Random number generators for the generalized Birnbaum-Saunders distribution. Journal of Statistical Computation and Simulation 78:1105-1118.
• Leiva, V., Sanhueza, A., Silva, A., Galea, M. (2008) A new three-parameter extension of the inverse Gaussian distribution. Statistics and Probability Letters 78(11):1266-1273.
• Barros, M., Paula, G.A., Leiva, V. (2008) A new class of survival regression models with heavy-tailed errors: robustness and diagnostics. Lifetime Data Analysis 14(3): 316-332.
• Sanhueza, A., Leiva, V., Balakrishnan, N. (2008) A new class of inverse Gaussian type distributions. Metrika 68:31-49.
• Sanhueza, A., Leiva, V., Balakrishnan, N. (2008) The generalized Birnbaum-Saunders distribution and its theory, methodology, and application. Communications in Statistics: Theory and Methods 37:645-670.

2007-2001

• Leiva, V., Barros, M., Paula, G.A., Galea, M. (2007) Influence diagnostics in log Birnbaum-Saunders regression models with censored data. Computational Statistics and Data Analysis 51(12):5694-5707.
• Leiva, V., Hernández, H., Riquelme, M. (2006) A new package for the Birnbaum-Saunders distribution. R Journal 6:35-40.
• Balakrishnan, N., Leiva, V., López, J. (2007) Acceptance sampling plans from truncated life tests based on the generalized Birnbaum-Saunders distribution. Communications in Statistics: Simulation and Computation 36:643-656.
• Díaz-García, J.A., Leiva, V. (2007) Erratum to "A new family of life distributions based on elliptically contoured distributions". Journal of Statistical Planning and Inference 137:1512-1513.
• Díaz-García, J.A., Leiva, V. (2005) A new family of life distributions based on elliptically contoured distributions. Journal of Statistical Planning and Inference 128(2):445-457.
• Díaz-García, J.A., Leiva, V. (2003) Doubly non-central t and F distribution obtained under singular and non-singular elliptic distributions. Communications in Statistics: Theory and Methods 32(1):11-32.
• Díaz-García, J.A., Galea, M., Leiva, V. (2003) Influence diagnostics for multivariate elliptic regression linear models. Communications in Statistics: Theory and Methods 32(3):625-641.
• Díaz-García, J.A., Leiva, V., Galea, M. (2002) Singular elliptic distribution: density and applications. Communications in Statistics: Theory and Methods 31(5):665-681.
• Espinosa, E., Cantu, M., Leiva, V. (2001) Characterization and application of the Birnbaum- Saunders model as a life distribution. Agraria 1:19-27.
• Galea, M., Leiva, V., Paula, G. (2004) Influence diagnostics in log-Birnbaum-Saunders regression models. Journal of Applied Statistics 31:1049-1064.
• Vilca, F., Leiva, V. (2006) A new fatigue life model based on the family of skew-elliptic distributions. Communications in Statistics: Theory and Methods 35(2):229-244.