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ORCIDVíctor Leiva
Victor Leiva-Sánchez
Person information
- affiliation: Pontifical Catholic University of Valparaíso, School of Industrial Engineering, Chile
- affiliation: McMaster University, Canada
- affiliation (PhD 1999): University of Granada, Department of Statistics and Operational Research, Spain
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Journal Articles
- 2025
[j60]Víctor Leiva
, Muhammad Zia Ur Rahman, Muhammad Azeem Akbar, Cecilia Castro, Mauricio Huerta, Muhammad Tanveer Riaz:
A Real-Time Intelligent System Based on Machine-Learning Methods for Improving Communication in Sign Language. IEEE Access 13: 22055-22073 (2025)- [j59]Asim Ghaffar, Muhammad Zia Ur Rahman, Víctor Leiva, Cecilia Castro, Carlos Martín-Barreiro:
Multi-Factor Optimization and Failure-Tolerant Design of Cable-Driven Parallel Manipulators in Deep-Sea Robotics. IEEE Access 13: 79280-79290 (2025) - [j58]Raydonal Ospina, Alexsandra Gomes De Lima, Cristiano Ferraz, Cecilia Castro, Carlos Martín-Barreiro, Víctor Leiva:
Enhanced Spatial Clustering for Crime Analysis: Novel Advances in Ward-Like and SKATER Algorithms for Brazilian Public Security. IEEE Access 13: 134846-134863 (2025) - [j57]Roberto Vila, Helton Saulo, Carolina Marchant, Víctor Leiva, Cecilia Castro:
Bivariate extended skew-elliptical Heckman models: mathematical characterization and an application in economic sciences. Comput. Appl. Math. 44(5): 236 (2025) - 2024
- [j56]Cecilia Castro, Víctor Leiva, Diego Garrido, Mauricio Huerta, Vinicius Minatogawa:
Blockchain in clinical trials: Bibliometric and network studies of applications, challenges, and future prospects based on data analytics. Comput. Methods Programs Biomed. 255: 108321 (2024) - [j55]Catarina Almeida, Cecilia Castro, Víctor Leiva, Ana Cristina Braga, Ana Freitas:
Optimizing Sentiment Analysis Models for Customer Support: Methodology and Case Study in the Portuguese Retail Sector. J. Theor. Appl. Electron. Commer. Res. 19(2): 1493-1516 (2024) - [j54]Muhammad Azeem Akbar, Víctor Leiva:
A new taxonomy of global software development best practices using prioritization based on a fuzzy system. J. Softw. Evol. Process. 36(3) (2024) - 2023
- [j53]Muhammad Zia Ur Rahman, Muhammad Azeem Akbar, Víctor Leiva, Abdullah Tahir, Muhammad Tanveer Riaz, Carlos Martín-Barreiro:
An intelligent health monitoring and diagnosis system based on the internet of things and fuzzy logic for cardiac arrhythmia COVID-19 patients. Comput. Biol. Medicine 154: 106583 (2023) - [j52]Ramón Giraldo, Víctor Leiva, George Christakos:
Leverage and Cook distance in regression with geostatistical data: methodology, simulation, and applications related to geographical information. Int. J. Geogr. Inf. Sci. 37(3): 607-633 (2023) - [j51]Carlos Manchini, Raydonal Ospina, Víctor Leiva, Carlos Martín-Barreiro:
A new approach to data differential privacy based on regression models under heteroscedasticity with applications to machine learning repository data. Inf. Sci. 627: 280-300 (2023) - [j50]Helton Saulo, Roberto Vila, Shayane S. Cordeiro, Víctor Leiva:
Bivariate symmetric Heckman models and their characterization. J. Multivar. Anal. 193: 105097 (2023) - [j49]Víctor Leiva, Rafael A. dos Santos, Helton Saulo, Carolina Marchant, Yuhlong Lio:
Bootstrap control charts for quantiles based on log-symmetric distributions with applications to the monitoring of reliability data. Qual. Reliab. Eng. Int. 39(1): 1-24 (2023) - [j48]Josmar Mazucheli, Mustafa Ç. Korkmaz, André Felipe Berdusco Menezes, Víctor Leiva:
The unit generalized half-normal quantile regression model: formulation, estimation, diagnostics, and numerical applications. Soft Comput. 27(1): 279-295 (2023) - [j47]Raydonal Ospina, Samuel G. F. Baltazar, Víctor Leiva, Jorge I. Figueroa-Zúñiga, Cecilia Castro:
Robust Semi-Parametric Inference for Two-Stage Production Models: A Beta Regression Approach. Symmetry 15(7): 1362 (2023) - 2022
- [j46]Emilio Gómez-Déniz, Víctor Leiva, Enrique Calderín-Ojeda, Christophe Chesneau:
A novel claim size distribution based on a Birnbaum-Saunders and gamma mixture capturing extreme values in insurance: estimation, regression, and applications. Comput. Appl. Math. 41(4) (2022) - [j45]Josmar Mazucheli, Bruna Alves, André Felipe Berdusco Menezes, Víctor Leiva:
An overview on parametric quantile regression models and their computational implementation with applications to biomedical problems including COVID-19 data. Comput. Methods Programs Biomed. 221: 106816 (2022) - [j44]Lin Ma, Yi Zhang, Víctor Leiva, Shuangzhe Liu, Tiefeng Ma:
A new clustering algorithm based on a radar scanning strategy with applications to machine learning data. Expert Syst. Appl. 191: 116143 (2022) - [j43]Shuangzhe Liu, Víctor Leiva, Dan Zhuang, Tiefeng Ma, Jorge I. Figueroa-Zúñiga:
Matrix differential calculus with applications in the multivariate linear model and its diagnostics. J. Multivar. Anal. 188: 104849 (2022) - [j42]Hélio M. de Oliveira, Raydonal Ospina, Víctor Leiva, Carlos Martín-Barreiro, Christophe Chesneau:
A New Wavelet-Based Privatization Mechanism for Probability Distributions. Sensors 22(10): 3743 (2022) - [j41]Muhammad Azeem Akbar, Víctor Leiva, Saima Rafi, Syed Furqan Qadri, Sajjad Mahmood, Ahmed Alsanad:
Towards roadmap to implement blockchain in healthcare systems based on a maturity model. J. Softw. Evol. Process. 34(12) (2022) - [j40]Bernardo Lagos-Álvarez, Nixon Jerez-Lillo, Jean P. Navarrete, Jorge I. Figueroa-Zúñiga, Víctor Leiva:
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 (2022) - [j39]Maheswari Rangasamy, Christophe Chesneau, Carlos Martín-Barreiro, Víctor Leiva:
On a Novel Dynamics of SEIR Epidemic Models with a Potential Application to COVID-19. Symmetry 14(7): 1436 (2022) - 2021
- [j38]Karime Chahuán-Jiménez, Rolando Rubilar-Torrealba, Hanns de la Fuente Mella, Víctor Leiva:
Breakpoint Analysis for the COVID-19 Pandemic and Its Effect on the Stock Markets. Entropy 23(1): 100 (2021) - [j37]Carlos A. Palacios, José Antonio Reyes-Suárez, Lorena A. Bearzotti, Víctor Leiva, Carolina Marchant:
Knowledge Discovery for Higher Education Student Retention Based on Data Mining: Machine Learning Algorithms and Case Study in Chile. Entropy 23(4): 485 (2021) - [j36]Sajjad Amiri Doumari, Hadi Givi, Mohammad Dehghani, Zeinab Montazeri, Víctor Leiva, Josep M. Guerrero:
A New Two-Stage Algorithm for Solving Optimization Problems. Entropy 23(4): 491 (2021) - [j35]Carlos Martín-Barreiro, John Ramírez-Figueroa, Xavier Cabezas, Víctor Leiva, Ma Purificación Galindo-Villardón:
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 (2021) - [j34]Fernando Rojas, Víctor Leiva, Mauricio Huerta, Carlos Martín-Barreiro:
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 (2021) - [j33]Xavier Cabezas, Sergio García, Carlos Martín-Barreiro, Erwin Delgado, Víctor Leiva:
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 (2021) - [j32]Esam Mahdi, Víctor Leiva, Saed Mara'Beh, Carlos Martín-Barreiro:
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 (2021) - [j31]Helton Saulo, Rubens Souza, Roberto Vila, Víctor Leiva, Robert G. Aykroyd:
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 (2021) - [j30]Ahmad Kamal Bin Mohd Nor, Srinivasa Rao Pedapati, Masdi Muhammad, Víctor Leiva:
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 (2021) - [j29]Josmar Mazucheli, Víctor Leiva, Bruna Alves, André Felipe Berdusco Menezes:
A New Quantile Regression for Modeling Bounded Data under a Unit Birnbaum-Saunders Distribution with Applications in Medicine and Politics. Symmetry 13(4): 682 (2021) - [j28]Eliardo Costa, Manoel Santos-Neto, Víctor Leiva:
Optimal Sample Size for the Birnbaum-Saunders Distribution under Decision Theory with Symmetric and Asymmetric Loss Functions. Symmetry 13(6): 926 (2021) - 2020
- [j27]Hanns de la Fuente Mella, José Luis Rojas Fuentes, Víctor Leiva:
Econometric modeling of productivity and technical efficiency in the Chilean manufacturing industry. Comput. Ind. Eng. 139: 105793 (2020) - [j26]Antonio Seijas-Macías, Amílcar Oliveira, Teresa A. Oliveira, Víctor Leiva:
Approximating the Distribution of the Product of Two Normally Distributed Random Variables. Symmetry 12(8): 1201 (2020) - [j25]Guillermo Martínez-Flórez, Víctor Leiva, Emilio Gómez-Déniz, Carolina Marchant:
A Family of Skew-Normal Distributions for Modeling Proportions and Rates with Zeros/Ones Excess. Symmetry 12(9): 1439 (2020) - 2018
- [j24]Raúl Fierro, Víctor Leiva, Jean Paul Maidana:
Cumulative damage and times of occurrence for a multicomponent system: A discrete time approach. J. Multivar. Anal. 168: 323-333 (2018) - 2017
- [j23]Víctor Leiva, Fabrizio Ruggeri, Helton Saulo, Juan F. Vivanco:
A methodology based on the Birnbaum-Saunders distribution for reliability analysis applied to nano-materials. Reliab. Eng. Syst. Saf. 157: 192-201 (2017) - 2016
- [j22]Peter Fernandes Wanke, Henrique Ewbank, Víctor Leiva, Fernando Rojas:
Inventory management for new products with triangularly distributed demand and lead-time. Comput. Oper. Res. 69: 97-108 (2016) - [j21]Shuangzhe Liu, Víctor Leiva, Tie-Feng Ma, Alan H. Welsh:
Influence diagnostic analysis in the possibly heteroskedastic linear model with exact restrictions. Stat. Methods Appl. 25(2): 227-249 (2016) - [j20]Carolina Marchant, Víctor Leiva, Francisco José de A. Cysneiros:
A Multivariate Log-Linear Model for Birnbaum-Saunders Distributions. IEEE Trans. Reliab. 65(2): 816-827 (2016) - 2015
- [j19]Víctor Leiva, Mauricio Tejo, Pierre Guiraud, Oliver Schmachtenberg, Patricio Orio, Fernando Marmolejo-Ramos:
Modeling neural activity with cumulative damage distributions. Biol. Cybern. 109(4-5): 421-433 (2015) - [j18]Raúl Fierro, Víctor Leiva, Narayanaswamy Balakrishnan:
Statistical Inference on a Stochastic Epidemic Model. Commun. Stat. Simul. Comput. 44(9): 2297-2314 (2015) - [j17]Raúl Fierro, Víctor Leiva, Jesper Møller:
The Hawkes Process with Different Exciting Functions and its Asymptotic Behavior. J. Appl. Probab. 52(1): 37-54 (2015) - 2014
- [j16]Víctor Leiva, Helton Saulo, Jeremias Leão, Carolina Marchant:
A family of autoregressive conditional duration models applied to financial data. Comput. Stat. Data Anal. 79: 175-191 (2014) - [j15]Michelli Barros, Víctor Leiva, Raydonal Ospina, Aline Tsuyuguchi:
Goodness-of-Fit Tests for the Birnbaum-Saunders Distribution With Censored Reliability Data. IEEE Trans. Reliab. 63(2): 543-554 (2014) - 2013
- [j14]Carolina Marchant, Karine Bertin, Víctor Leiva, Helton Saulo:
Generalized Birnbaum-Saunders kernel density estimators and an analysis of financial data. Comput. Stat. Data Anal. 63: 1-15 (2013) - 2012
- [j13]Cecilia Azevedo, Víctor Leiva, Emilia Athayde, Narayanaswamy Balakrishnan:
Shape and change point analyses of the Birnbaum-Saunders-t hazard rate and associated estimation. Comput. Stat. Data Anal. 56(12): 3887-3897 (2012) - [j12]Francisco J. Caro-Lopera, Víctor Leiva, Narayanaswamy Balakrishnan:
Connection between the Hadamard and matrix products with an application to matrix-variate Birnbaum-Saunders distributions. J. Multivar. Anal. 104(1): 126-139 (2012) - 2011
- [j11]Filidor V. Vilca, Lucia Santana, Víctor Leiva, Narayanaswamy Balakrishnan:
Estimation of extreme percentiles in Birnbaum-Saunders distributions. Comput. Stat. Data Anal. 55(4): 1665-1678 (2011) - [j10]Nabor O. Castillo, Héctor W. Gómez, Víctor Leiva, Antonio Sanhueza:
On the Fernández-Steel distribution: Inference and application. Comput. Stat. Data Anal. 55(11): 2951-2961 (2011) - [j9]Cristian Villegas, Gilberto A. Paula, Víctor Leiva:
Birnbaum-Saunders Mixed Models for Censored Reliability Data Analysis. IEEE Trans. Reliab. 60(4): 748-758 (2011) - 2010
- [j8]Michelli Barros, Manuel Galea, Manuel González, Víctor Leiva:
Influence diagnostics in the tobit censored response model. Stat. Methods Appl. 19(3): 379-397 (2010) - 2009
- [j7]Michelli Barros, Gilberto A. Paula, Víctor Leiva:
An R implementation for generalized Birnbaum-Saunders distributions. Comput. Stat. Data Anal. 53(4): 1511-1528 (2009) - [j6]Víctor Leiva, Antonio Sanhueza, Diana M. Kelmansky, Elena J. Martínez:
On the glog-normal distribution and its application to the gene expression problem. Comput. Stat. Data Anal. 53(5): 1613-1621 (2009) - [j5]Claudia Castro-Kuriss, Diana M. Kelmansky, Víctor Leiva, Elena J. Martínez:
A New Goodness-of-Fit Test for Censored Data with an Application in Monitoring Processes. Commun. Stat. Simul. Comput. 38(6): 1161-1177 (2009) - [j4]Pierre Guiraud, Víctor Leiva, Raúl Fierro:
A Non-Central Version of the Birnbaum-Saunders Distribution for Reliability Analysis. IEEE Trans. Reliab. 58(1): 152-160 (2009) - 2008
- [j3]Víctor Leiva, Marco Riquelme, Narayanaswamy Balakrishnan, Antonio Sanhueza:
Lifetime analysis based on the generalized Birnbaum-Saunders distribution. Comput. Stat. Data Anal. 52(4): 2079-2097 (2008) - 2007
- [j2]Víctor Leiva, Michelli Barros, Gilberto A. Paula, Manuel Galea:
Influence diagnostics in log-Birnbaum-Saunders regression models with censored data. Comput. Stat. Data Anal. 51(12): 5694-5707 (2007) - [j1]Narayanaswamy Balakrishnan, Víctor Leiva, Jorge López:
Acceptance Sampling Plans from Truncated Life Tests Based on the Generalized Birnbaum-Saunders Distribution. Commun. Stat. Simul. Comput. 36(3): 643-656 (2007)
Conference and Workshop Papers
- 2021
- [c2]Manuel Ayala, Hanns de la Fuente Mella, Víctor Leiva, Ana María Vallina-Hernandez:
Trade Gravity Models for the Factors Affecting Foreign Trade in the Political-Administrative Regions of Chile. AHFE (15) 2021: 495-503 - 2017
- [c1]Víctor Leiva, Ana Freire:
Towards Suicide Prevention: Early Detection of Depression on Social Media. INSCI 2017: 428-436
Informal and Other Publications
- 2020
- [i1]John Ramírez-Figueroa, Carlos Martín-Barreiro, Ana Belén Nieto-Librero, Victor Leiva-Sánchez, Ma Purificación Galindo-Villardón:
Disjoint principal component analysis by constrained binary particle swarm optimization. CoRR abs/2004.10701 (2020)
Coauthor Index
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