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D-Index & Metrics

Mathematics

D-Index
37
Citations
4819
World Ranking
2535
National Ranking
20

Overview

Heleno Bolfarine is affiliated with the Universidade de São Paulo in Brazil and has contributed extensively to the field of mathematics, particularly focusing on statistical distribution estimation, statistical methods, and Bayesian inference.

Their research spans several main fields and subfields of study, including:

  • Mathematics
  • Statistics and Probability
  • Artificial Intelligence
  • Statistics, Probability and Uncertainty
  • Global and Planetary Change
  • Management Science and Operations Research

Key topics within their work include:

  • Statistical Distribution Estimation and Applications
  • Statistical Methods and Bayesian Inference
  • Advanced Statistical Methods and Models
  • Bayesian Methods and Mixture Models
  • Probabilistic and Robust Engineering Design
  • Hydrology and Drought Analysis
  • Statistical Methods and Inference

The scientist has published papers in various academic venues, predominantly in mathematics and statistics journals, such as:

  • Mathematics
  • Journal of Data Science
  • Symmetry
  • Brazilian Journal of Probability and Statistics
  • Communications in Statistics - Simulation and Computation

Notable recent papers authored or co-authored by Heleno Bolfarine include:

  • "Skew-normal Linear Mixed Models," 2021, Journal of Data Science
  • "The Log-exponentiated-Weibull Regression Models with Cure Rate: Local Influence and Residual Analysis," 2021, Journal of Data Science
  • "Linear mixed models based on skew scale mixtures of normal distributions," 2020, Communications in Statistics - Simulation and Computation
  • "On Properties of the Bimodal Skew-Normal Distribution and an Application," 2020, Mathematics
  • "Unification of Families of Birnbaum-Saunders Distributions with Applications," 2022, DOAJ (DOAJ: Directory of Open Access Journals)

Heleno Bolfarine has collaborated frequently with other researchers, with several co-authors appearing in multiple works, including:

  • Guillermo Martínez-Flórez
  • Manuel Galea
  • Mário de Castro
  • Héctor W. Gómez
  • Víctor H. Lachos

In addition to articles, they have contributed to the academic community with at least one book published by Springer International Publishing:

  • Regression Models for the Comparison of Measurement Methods, 2020

Best Publications

  • Skew-normal Linear Mixed Models

    R. B. Arellano-Valle;H. Bolfarine;V. H. Lachos

  • Prediction Theory for Finite Populations

    Heleno Bolfarine;Shelemyahu Zacks

  • Bayesian Inference for Skew-normal Linear Mixed Models

    R.B. Arellano-Valle;H. Bolfarine;V.H. Lachos

  • A skew item response model

    Jorge L. Bazán;Márcia D. Branco;Heleno Bolfarine

  • Skew-symmetric distributions generated by the distribution function of the normal distribution

    Héctor W. Gómez;Osvaldo Venegas;Heleno Bolfarine

  • Influence diagnostics in generalized log-gamma regression models

    Edwin M. M. Ortega;Heleno Bolfarine;Gilberto A. Paula

  • Local influence in elliptical linear regression models

    Manuel Galea;Gilberto A. Paula;Heleno Bolfarine

  • An extension of the generalized Birnbaum–Saunders distribution

    Héctor W. Gómez;Héctor W. Gómez;Juan F. Olivares-Pacheco;Heleno Bolfarine

  • Introdução a inferência estatística

    Heleno Bolfarine;Monica Carneiro Sandoval

  • On some characterizations of the t-distribution

    Reinaldo B. Arellano-Valle;Heleno Bolfarine

  • An extension of the half-normal distribution

    Neveka M. Olmos;Héctor Varela;Héctor W. Gómez;Heleno Bolfarine

  • Skew scale mixtures of normal distributions: Properties and estimation

    Clécio da Silva Ferreira;Heleno Bolfarine;Víctor H. Lachos

  • Skew normal measurement error models

    R. B. Arellano-Valle;S. Ozan;H. Bolfarine;V. H. Lachos

  • Bayesian inference for a skew-normal IRT model under the centred parameterization

    Caio L. N. Azevedo;Heleno Bolfarine;Dalton F. Andrade

  • Bayes and minimax prediction in finite populations

    H. Bolfarine;S. Zacks

  • Likelihood-based inference for power distributions

    Arthur Richard Pewsey;Hector W. Gómez;Heleno Bolfarine

  • Likelihood-Based Inference for Multivariate Skew-Normal Regression Models

    Víctor H. Lachos;Heleno Bolfarine;Reinaldo B. Arellano-Valle;Lourdes C. Montenegro

  • Population variance prediction under normal dynamic superpopulation models

    Heleno Bolfarine

  • A New Extension of the Exponential Distribution

    Yolanda M. Gómez;Heleno Bolfarine;Héctor W. Gómez

  • Bimodal extension based on the skew-normal distribution with application to pollen data

    Héctor W. Gómez;David Elal-Olivero;Hugo S. Salinas;Heleno Bolfarine

Frequent Co-Authors

Victor H. Lachos
Victor H. Lachos University of Connecticut
Edwin M. M. Ortega
Edwin M. M. Ortega Universidade de São Paulo
Gauss M. Cordeiro
Gauss M. Cordeiro Federal University of Pernambuco
Barry C. Arnold
Barry C. Arnold University of California, Riverside

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