Influence diagnostics in log-Birnbaum-Saunders regression models with censored data. - Víctor Leiva; Michelli Barros; Gilberto A. Paula; Manuel Galea (Comput. Stat. Data Anal., 2007)

Acceptance Sampling Plans from Truncated Life Tests Based on the Generalized Birnbaum-Saunders Distribution. - Narayanaswamy Balakrishnan 001; Víctor Leiva; Jorge López (Commun. Stat. Simul. Comput., 2007)

Lifetime analysis based on the generalized Birnbaum-Saunders distribution. - Víctor Leiva; Marco Riquelme; Narayanaswamy Balakrishnan 001; Antonio Sanhueza (Comput. Stat. Data Anal., 2008)

An R implementation for generalized Birnbaum-Saunders distributions. - Michelli Barros; Gilberto A. Paula; Víctor Leiva (Comput. Stat. Data Anal., 2009)

On the glog-normal distribution and its application to the gene expression problem. - Víctor Leiva; Antonio Sanhueza; Diana M. Kelmansky; Elena J. Martínez (Comput. Stat. Data Anal., 2009)

A New Goodness-of-Fit Test for Censored Data with an Application in Monitoring Processes. - Claudia Castro-Kuriss; Diana M. Kelmansky; Víctor Leiva; Elena J. Martínez (Commun. Stat. Simul. Comput., 2009)

A Non-Central Version of the Birnbaum-Saunders Distribution for Reliability Analysis. - Pierre Guiraud; Víctor Leiva; Raúl Fierro (IEEE Trans. Reliab., 2009)

Influence diagnostics in the tobit censored response model. - Michelli Barros; Manuel Galea; Manuel González; Víctor Leiva (Stat. Methods Appl., 2010)

On the Fernández-Steel distribution: Inference and application. - Nabor O. Castillo; Héctor W. Gómez; Víctor Leiva; Antonio Sanhueza (Comput. Stat. Data Anal., 2011)

Estimation of extreme percentiles in Birnbaum-Saunders distributions. - Filidor V. Vilca; Lucia Santana; Víctor Leiva; Narayanaswamy Balakrishnan 001 (Comput. Stat. Data Anal., 2011)

Birnbaum-Saunders Mixed Models for Censored Reliability Data Analysis. - Cristian Villegas; Gilberto A. Paula; Víctor Leiva (IEEE Trans. Reliab., 2011)

Shape and change point analyses of the Birnbaum-Saunders-t hazard rate and associated estimation. - Cecilia Azevedo; Víctor Leiva; Emilia Athayde; Narayanaswamy Balakrishnan 001 (Comput. Stat. Data Anal., 2012)

Connection between the Hadamard and matrix products with an application to matrix-variate Birnbaum-Saunders distributions. - Francisco J. Caro-Lopera; Víctor Leiva; Narayanaswamy Balakrishnan 001 (J. Multivar. Anal., 2012)

Generalized Birnbaum-Saunders kernel density estimators and an analysis of financial data. - Carolina Marchant; Karine Bertin; Víctor Leiva; Helton Saulo (Comput. Stat. Data Anal., 2013)

A family of autoregressive conditional duration models applied to financial data. - Víctor Leiva; Helton Saulo; Jeremias Leão; Carolina Marchant (Comput. Stat. Data Anal., 2014)

Goodness-of-Fit Tests for the Birnbaum-Saunders Distribution With Censored Reliability Data. - Michelli Barros; Víctor Leiva; Raydonal Ospina; Aline Tsuyuguchi (IEEE Trans. Reliab., 2014)

Modeling neural activity with cumulative damage distributions. - Víctor Leiva; Mauricio Tejo; Pierre Guiraud; Oliver Schmachtenberg; Patricio Orio; Fernando Marmolejo-Ramos (Biol. Cybern., 2015)

Statistical Inference on a Stochastic Epidemic Model. - Raúl Fierro; Víctor Leiva; Narayanaswamy Balakrishnan 001 (Commun. Stat. Simul. Comput., 2015)

The Hawkes Process with Different Exciting Functions and its Asymptotic Behavior. - Raúl Fierro; Víctor Leiva; Jesper Møller (J. Appl. Probab., 2015)

Inventory management for new products with triangularly distributed demand and lead-time. - Peter Fernandes Wanke; Henrique Ewbank; Víctor Leiva; Fernando Rojas (Comput. Oper. Res., 2016)

Influence diagnostic analysis in the possibly heteroskedastic linear model with exact restrictions. - Shuangzhe Liu; Víctor Leiva; Tie-Feng Ma; Alan H. Welsh (Stat. Methods Appl., 2016)

A Multivariate Log-Linear Model for Birnbaum-Saunders Distributions. - Carolina Marchant; Víctor Leiva; Francisco José de A. Cysneiros (IEEE Trans. Reliab., 2016)

Towards Suicide Prevention: Early Detection of Depression on Social Media. - Víctor Leiva; Ana Freire (INSCI, 2017)

A methodology based on the Birnbaum-Saunders distribution for reliability analysis applied to nano-materials. - Víctor Leiva; Fabrizio Ruggeri 001; Helton Saulo; Juan F. Vivanco (Reliab. Eng. Syst. Saf., 2017)

Cumulative damage and times of occurrence for a multicomponent system: A discrete time approach. - Raúl Fierro; Víctor Leiva; Jean Paul Maidana (J. Multivar. Anal., 2018)

Econometric modeling of productivity and technical efficiency in the Chilean manufacturing industry. - Hanns de la Fuente Mella; José Luis Rojas Fuentes; Víctor Leiva (Comput. Ind. Eng., 2020)

Disjoint principal component analysis by constrained binary particle swarm optimization. - John Ramírez-Figueroa; Carlos Martín-Barreiro; Ana Belén Nieto-Librero; Victor Leiva-Sánchez; Ma Purificación Galindo-Villardón (CoRR, 2020)

A Family of Skew-Normal Distributions for Modeling Proportions and Rates with Zeros/Ones Excess. - Guillermo Martínez-Flórez; Víctor Leiva; Emilio Gómez-Déniz; Carolina Marchant (Symmetry, 2020)

Approximating the Distribution of the Product of Two Normally Distributed Random Variables. - Antonio Seijas-Macías; Amílcar Oliveira; Teresa A. Oliveira; Víctor Leiva (Symmetry, 2020)

Trade Gravity Models for the Factors Affecting Foreign Trade in the Political-Administrative Regions of Chile. - Manuel Ayala; Hanns de la Fuente Mella; Víctor Leiva; Ana María Vallina-Hernandez (AHFE (15), 2021)

Breakpoint Analysis for the COVID-19 Pandemic and Its Effect on the Stock Markets. - Karime Chahuán-Jiménez; Rolando Rubilar-Torrealba; Hanns de la Fuente Mella; Víctor Leiva (Entropy, 2021)

A New Two-Stage Algorithm for Solving Optimization Problems. - Sajjad Amiri Doumari; Hadi Givi; Mohammad Dehghani; Zeinab Montazeri; Víctor Leiva; Josep M. Guerrero (Entropy, 2021)

Knowledge Discovery for Higher Education Student Retention Based on Data Mining: Machine Learning Algorithms and Case Study in Chile. - Carlos A. Palacios; José Antonio Reyes-Suárez; Lorena A. Bearzotti; Víctor Leiva; Carolina Marchant (Entropy, 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. - Xavier Cabezas; Sergio García 001; Carlos Martín-Barreiro; Erwin Delgado; Víctor Leiva (Sensors, 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. - Esam Mahdi; Víctor Leiva; Saed Mara'Beh; Carlos Martín-Barreiro (Sensors, 2021)

Disjoint and Functional Principal Component Analysis for Infected Cases and Deaths Due to COVID-19 in South American Countries with Sensor-Related Data. - Carlos Martín-Barreiro; John Ramírez-Figueroa; Xavier Cabezas; Víctor Leiva; Ma Purificación Galindo-Villardón (Sensors, 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. - Ahmad Kamal Bin Mohd Nor; Srinivasa Rao Pedapati; Masdi Muhammad; Víctor Leiva (Sensors, 2021)

Lot-Size Models with Uncertain Demand Considering Its Skewness/Kurtosis and Stochastic Programming Applied to Hospital Pharmacy with Sensor-Related COVID-19 Data. - Fernando Rojas; Víctor Leiva; Mauricio Huerta; Carlos Martín-Barreiro (Sensors, 2021)

Modeling Mortality Based on Pollution and Temperature Using a New Birnbaum-Saunders Autoregressive Moving Average Structure with Regressors and Related-Sensors Data. - Helton Saulo; Rubens Souza; Roberto Vila; Víctor Leiva; Robert G. Aykroyd (Sensors, 2021)

Optimal Sample Size for the Birnbaum-Saunders Distribution under Decision Theory with Symmetric and Asymmetric Loss Functions. - Eliardo Costa; Manoel Santos-Neto; Víctor Leiva (Symmetry, 2021)

A New Quantile Regression for Modeling Bounded Data under a Unit Birnbaum-Saunders Distribution with Applications in Medicine and Politics. - Josmar Mazucheli; Víctor Leiva; Bruna Alves; André Felipe Berdusco Menezes (Symmetry, 2021)

An overview on parametric quantile regression models and their computational implementation with applications to biomedical problems including COVID-19 data. - Josmar Mazucheli; Bruna Alves; André Felipe Berdusco Menezes; Víctor Leiva (Comput. Methods Programs Biomed., 2022)

A new clustering algorithm based on a radar scanning strategy with applications to machine learning data. - Lin Ma; Yi Zhang 067; Víctor Leiva; Shuangzhe Liu; Tiefeng Ma (Expert Syst. Appl., 2022)

Matrix differential calculus with applications in the multivariate linear model and its diagnostics. - Shuangzhe Liu; Víctor Leiva; Dan Zhuang; Tiefeng Ma; Jorge I. Figueroa-Zúñiga (J. Multivar. Anal., 2022)

A New Wavelet-Based Privatization Mechanism for Probability Distributions. - Hélio M. de Oliveira; Raydonal Ospina; Víctor Leiva; Carlos Martín-Barreiro; Christophe Chesneau (Sensors, 2022)

Towards roadmap to implement blockchain in healthcare systems based on a maturity model. - Muhammad Azeem Akbar; Víctor Leiva; Saima Rafi; Syed Furqan Qadri; Sajjad Mahmood; Ahmed Alsanad (J. Softw. Evol. Process., 2022)

A Type I Generalized Logistic Distribution: Solving Its Estimation Problems with a Bayesian Approach and Numerical Applications Based on Simulated and Engineering Data. - Bernardo Lagos-Álvarez; Nixon Jerez-Lillo; Jean P. Navarrete; Jorge I. Figueroa-Zúñiga; Víctor Leiva (Symmetry, 2022)

On a Novel Dynamics of SEIR Epidemic Models with a Potential Application to COVID-19. - Maheswari Rangasamy; Christophe Chesneau; Carlos Martín-Barreiro; Víctor Leiva (Symmetry, 2022)

A novel claim size distribution based on a Birnbaum-Saunders and gamma mixture capturing extreme values in insurance: estimation, regression, and applications. - Emilio Gómez-Déniz; Víctor Leiva; Enrique Calderín-Ojeda; Christophe Chesneau (Comput. Appl. Math., 2022)

Bivariate symmetric Heckman models and their characterization. - Helton Saulo; Roberto Vila; Shayane S. Cordeiro; Víctor Leiva (J. Multivar. Anal., 2023)

The unit generalized half-normal quantile regression model: formulation, estimation, diagnostics, and numerical applications. - Josmar Mazucheli; Mustafa Ç. Korkmaz; André Felipe Berdusco Menezes; Víctor Leiva (Soft Comput., 2023)

Bootstrap control charts for quantiles based on log-symmetric distributions with applications to the monitoring of reliability data. - Víctor Leiva; Rafael A. dos Santos; Helton Saulo; Carolina Marchant; Yuhlong Lio (Qual. Reliab. Eng. Int., 2023)

An intelligent health monitoring and diagnosis system based on the internet of things and fuzzy logic for cardiac arrhythmia COVID-19 patients. - Muhammad Zia Ur Rahman 002; Muhammad Azeem Akbar; Víctor Leiva; Abdullah Tahir; Muhammad Tanveer Riaz; Carlos Martín-Barreiro (Comput. Biol. Medicine, 2023)

Leverage and Cook distance in regression with geostatistical data: methodology, simulation, and applications related to geographical information. - Ramón Giraldo; Víctor Leiva; George Christakos (Int. J. Geogr. Inf. Sci., 2023)

A new approach to data differential privacy based on regression models under heteroscedasticity with applications to machine learning repository data. - Carlos Manchini; Raydonal Ospina; Víctor Leiva; Carlos Martín-Barreiro (Inf. Sci., 2023)

Robust Semi-Parametric Inference for Two-Stage Production Models: A Beta Regression Approach. - Raydonal Ospina; Samuel G. F. Baltazar; Víctor Leiva; Jorge I. Figueroa-Zúñiga; Cecilia Castro (Symmetry, 2023)

Blockchain in clinical trials: Bibliometric and network studies of applications, challenges, and future prospects based on data analytics. - Cecilia Castro; Víctor Leiva; Diego Garrido; Mauricio Huerta; Vinicius Minatogawa (Comput. Methods Programs Biomed., 2024)

A new taxonomy of global software development best practices using prioritization based on a fuzzy system. - Muhammad Azeem Akbar; Víctor Leiva (J. Softw. Evol. Process., 2024)

Optimizing Sentiment Analysis Models for Customer Support: Methodology and Case Study in the Portuguese Retail Sector. - Catarina Almeida 004; Cecilia Castro; Víctor Leiva; Ana Cristina Braga; Ana Freitas (J. Theor. Appl. Electron. Commer. Res., 2024)

Multi-Factor Optimization and Failure-Tolerant Design of Cable-Driven Parallel Manipulators in Deep-Sea Robotics. - Asim Ghaffar; Muhammad Zia Ur Rahman 002; Víctor Leiva; Cecilia Castro; Carlos Martín-Barreiro (IEEE Access, 2025)

A Real-Time Intelligent System Based on Machine-Learning Methods for Improving Communication in Sign Language. - Víctor Leiva; Muhammad Zia Ur Rahman 002; Muhammad Azeem Akbar; Cecilia Castro; Mauricio Huerta; Muhammad Tanveer Riaz (IEEE Access, 2025)

Enhanced Spatial Clustering for Crime Analysis: Novel Advances in Ward-Like and SKATER Algorithms for Brazilian Public Security. - Raydonal Ospina; Alexsandra Gomes De Lima; Cristiano Ferraz; Cecilia Castro; Carlos Martín-Barreiro; Víctor Leiva (IEEE Access, 2025)

Bivariate extended skew-elliptical Heckman models: mathematical characterization and an application in economic sciences. - Roberto Vila; Helton Saulo; Carolina Marchant; Víctor Leiva; Cecilia Castro (Comput. Appl. Math., 2025)