Víctor Leiva

Statistics and Probability · 2007–2020

A researcher in the Science corpus: 18 papers; trusts 37 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 81 citations into it; #2,729 of 12,932 by trust here, #1,523 by citations
• Artificial Intelligence — 15 citations into it; #26,964 of 35,345 by trust here, #23,731 by citations
• Demography — 10 citations into it
• Management Science and Operations Research — 10 citations into it
• Environmental Engineering — 9 citations into it
• Finance — 8 citations into it
• Mechanics of Materials — 6 citations into it
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Víctor Leiva trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Saralees Nadarajah
2. Narayanaswamy Balakrishnan
3. Victor Leiva-Sánchez
4. Govind S. Mudholkar
5. Manuel Galea
6. Antonio Sanhueza
7. Xiaodong Jin
8. F. Vilca-Labra
9. Gilberto A. Paula
10. Yasuhiro Omori

Who trusts Víctor Leiva overall

1. Narayanaswamy Balakrishnan
2. Helton Saulo
3. Lucia Santana
4. Carolina Marchant
5. Filidor V. Vilca
6. Antonio Sanhueza
7. Debasis Kundu
8. Muhammad Aslam
9. Amjad D. Al-Nasser
10. Gilberto A. Paula

Papers from Víctor Leiva's perspective

Ordered by how strongly the researchers Víctor Leiva trusts endorse each paper. Same corpus, a different order for every researcher.

1. Residuals and Influence in Regression
2. Bayesian measures of model complexity and fit
3. The Generalized Birnbaum–Saunders Distribution and Its Theory, Methodology, and Application
4. Table of Integrals, Series, and Products
5. Linear Mixed Models for Longitudinal Data (Technometrics)
6. Estimating the Dimension of a Model
7. A truncated inverted beta distribution with application to air pollution data
8. Joint modelling of location and scale parameters of the t distribution
9. A new look at the statistical model identification
10. Generalized Linear Models

Their papers

• On some mixture models based on the BirnbaumSaunders distribution and associated inference (2011) — 59 citations
• The Generalized Birnbaum–Saunders Distribution and Its Theory, Methodology, and Application (2008) — 114 citations
• Acceptance Sampling Plans from Truncated Life Tests Based on the Generalized Birnbaum–Saunders Distribution (2007) — 332 citations
• Two New Mixture Models Related to the Inverse Gaussian Distribution (2010) — 56 citations
• Reparameterized Birnbaum-Saunders regression models with varying precision (2016) — 60 citations
• Robust statistical modeling using the Birnbaum-Saunders- t distribution applied to insurance (2012) — 115 citations
• A Skewed Sinh-Normal Distribution and Its Properties and Application to Air Pollution (2010) — 95 citations
• Mixture inverse Gaussian distributions and its transformations, moments and applications (2009) — 103 citations
• Influence analysis in skew-Birnbaum–Saunders regression models and applications (2011) — 55 citations
• A nonparametric method for estimating asymmetric densities based on skewed Birnbaum–Saunders distributions applied to environmental data (2013) — 69 citations
• Birnbaum‐Saunders quantile regression and its diagnostics with application to economic data (2020) — 59 citations
• Log‐symmetric quantile regression models (2020) — 46 citations
• Birnbaum-Saunders spatial regression models: Diagnostics and application to chemical data (2018) — 58 citations
• Robust multivariate control charts based on Birnbaum–Saunders distributions (2018) — 58 citations
• Diagnostics in multivariate generalized Birnbaum-Saunders regression models (2016) — 55 citations
• On an extreme value version of the Birnbaum-Saunders distribution (2012) — 74 citations
• Estimation in the Birnbaum-Saunders distribution based on scale-mixture of normals and the EM-algorithm (2009) — 77 citations
• An R Package for a General Class of Inverse Gaussian Distributions (2008) — 103 citations