World's Best Scientists 2026 revealed!
Award Badge
Mathematics
Chile
2026

D-Index & Metrics

Mathematics

D-Index
49
Citations
7025
World Ranking
1168
National Ranking
1

Research.com Recognitions

  • 2026 - Research.com Mathematics in Chile Leader Award
  • 2025 - Research.com Mathematics in Chile Leader Award

Overview

Víctor Leiva is affiliated with the Pontificial Catholic University of Valparaiso in Chile. Their research primarily focuses on mathematics, with a significant number of publications in the field. Their work spans several subfields including statistics and probability, artificial intelligence, statistics, probability and uncertainty, modeling and simulation, and management science and operations research.

The main topics of Víctor Leiva's research include:

  • Statistical Distribution Estimation and Applications
  • Advanced Statistical Methods and Models
  • Statistical Methods and Bayesian Inference
  • COVID-19 epidemiological studies
  • Statistical Methods and Inference
  • Probabilistic and Robust Engineering Design
  • Financial Risk and Volatility Modeling

Víctor Leiva has published extensively in certain scientific venues, most frequently contributing to:

  • Mathematics
  • Fractal and Fractional
  • Symmetry
  • Sensors
  • Stochastic Environmental Research and Risk Assessment

Some recent publications include:

  • "Knowledge Discovery for Higher Education Student Retention Based on Data Mining: Machine Learning Algorithms and Case Study in Chile," 2021, Entropy
  • "An Overview of Forecast Analysis with ARIMA Models during the COVID-19 Pandemic: Methodology and Case Study in Brazil," 2023, Mathematics
  • "Early Prediction in Classification of Cardiovascular Diseases with Machine Learning, Neuro-Fuzzy and Statistical Methods," 2023, Biology
  • "An intelligent health monitoring and diagnosis system based on the internet of things and fuzzy logic for cardiac arrhythmia COVID-19 patients," 2023, Computers in Biology and Medicine
  • "Overview of Explainable Artificial Intelligence for Prognostic and Health Management of Industrial Assets Based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses," 2021, Sensors

Frequent collaborators in Víctor Leiva's research include:

  • Cecília Castro
  • Carlos Martin-Barreiro
  • Helton Saulo
  • Raydonal Ospina
  • Muhammad Zia Ur Rahman

Best Publications

  • Acceptance sampling plans from truncated life tests based on the generalized birnbaum-saunders distribution

    Narayanaswamy Balakrishnan;Víctor Leiva;Jorge López

  • An interactive biplot implementation in R for modeling genotype-by-environment interaction

    Elisa Frutos;M. Purificación Galindo;Víctor Leiva

  • An R Package for a General Class of Inverse Gaussian Distributions

    Víctor Leiva;Hugo Hernández;Antonio Sanhueza

  • Influence diagnostics in log-Birnbaum-Saunders regression models with censored data

    Víctor Leiva;Michelli Barros;Gilberto A. Paula;Manuel Galea

  • Generalized Birnbaum-Saunders distributions applied to air pollutant concentration

    Víctor Leiva;Michelli Barros;Gilberto A. Paula;Antonio Sanhueza

  • The Birnbaum-Saunders Distribution

    Victor Leiva

  • A new class of survival regression models with heavy-tailed errors: robustness and diagnostics

    Michelli Barros;Gilberto A. Paula;Víctor Leiva

  • The Generalized Birnbaum–Saunders Distribution and Its Theory, Methodology, and Application

    Antonio Sanhueza;Víctor Leiva;N. Balakrishnan

  • Knowledge Discovery for Higher Education Student Retention Based on Data Mining: Machine Learning Algorithms and Case Study in Chile.

    Carlos A. Palacios;Carlos A. Palacios;José A. Reyes-Suárez;Lorena A. Bearzotti;Víctor Leiva

  • Robust statistical modeling using the Birnbaum-Saunders- t distribution applied to insurance

    Gilberto A. Paula;Víctor Leiva;Michelli Barros;Shuangzhe Liu

  • A length-biased version of the Birnbaum-Saunders distribution with application in water quality

    Víctor Leiva;Antonio Sanhueza;José M. Angulo

  • Mixture inverse Gaussian distributions and its transformations, moments and applications

    N. Balakrishnan;Víctor Leiva;Antonio Sanhueza;Enrique Cabrera

  • Capability indices for Birnbaum–Saunders processes applied to electronic and food industries

    Víctor Leiva;Carolina Marchant;Helton Saulo;Muhammad Aslam

  • Lifetime analysis based on the generalized Birnbaum-Saunders distribution

    Víctor Leiva;Marco Riquelme;N. Balakrishnan;Antonio Sanhueza

  • A Skewed Sinh-Normal Distribution and Its Properties and Application to Air Pollution

    Víctor Leiva;Filidor Vilca;N. Balakrishnan;Antonio Sanhueza

  • Estimation in the Birnbaum-Saunders distribution based on scale-mixture of normals and the EM-algorithm

    Narayanaswamy Balakrishnan;Víctor Leiva;Antonio Sanhueza;Filidor Vilca

  • An R implementation for generalized Birnbaum-Saunders distributions

    Michelli Barros;Gilberto A. Paula;Víctor Leiva

  • On an extreme value version of the Birnbaum-Saunders distribution

    Marta Susana Ferreira;Ivette Gomes;Víctor Leiva

  • Generalized Birnbaum-Saunders kernel density estimators and an analysis of financial data

    Carolina Marchant;Karine Bertin;VíCtor Leiva;Helton Saulo

  • Birnbaum–Saunders statistical modelling: a new approach:

    Víctor Leiva;Manoel Santos-Neto;Manoel Santos-Neto;Francisco José A Cysneiros;Michelli Barros

Frequent Co-Authors

Narayanaswamy Balakrishnan
Narayanaswamy Balakrishnan McMaster University
M. Ivette Gomes
M. Ivette Gomes University of Lisbon
Pranab Kumar Sen
Pranab Kumar Sen University of North Carolina at Chapel Hill
Jesper Møller
Jesper Møller Aalborg University
Muhammad Aslam
Muhammad Aslam King Abdulaziz University
Samuel Kotz
Samuel Kotz George Washington University
Ramesh C. Gupta
Ramesh C. Gupta University of Maine
Debasis Kundu
Debasis Kundu Indian Institute of Technology Kanpur
Alan H. Welsh
Alan H. Welsh Australian National University
Emilio Porcu
Emilio Porcu Khalifa University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Pursuing a degree in Mathematics can open doors to various interdisciplinary fields, especially when combined with online programs that offer flexibility and affordability. For those interested in finance, exploring the cheapest masters in finance can provide a solid financial foundation while leveraging mathematical skills.

If you're considering advancing your managerial capabilities, enrolling in one of the fastest MBA programs online can allow you to quickly gain strategic insights with minimal time commitment.

For professionals keen on marketing analytics and digital trends, a masters in digital marketing offers a perfect blend of creativity and data-driven decision making, complementing a mathematical background.

Additionally, if you prefer an accelerated MBA experience, exploring accredited year long MBA programs can enhance your credentials in a concise timeframe, pairing well with math-oriented careers such as analytics or consulting.

Best Scientists Citing Víctor Leiva

Trending Scientists

Recently Published Articles