Diego I. Gallardo

Orcid: 0000-0001-8184-7403

According to our database1, Diego I. Gallardo authored at least 18 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2023
A Compound Class of Inverse-Power Muth and Power Series Distributions.
Axioms, April, 2023

2022
A Bimodal Model Based on Truncation Positive Normal with Application to Height Data.
Symmetry, 2022

Some simulation/computation in multivariate linear models of scale mixtures of skew-normal-Cauchy distributions.
Commun. Stat. Simul. Comput., 2022

2021
A Compound Class of the Inverse Gamma and Power Series Distributions.
Symmetry, 2021

An Asymmetric Bimodal Double Regression Model.
Symmetry, 2021

Slash Truncation Positive Normal Distribution and Its Estimation Based on the EM Algorithm.
Symmetry, 2021

A Note on the Birnbaum-Saunders Conditionals Model.
Symmetry, 2021

2020
Bias Reduction for the Marshall-Olkin Extended Family of Distributions with Application to an Airplane's Air Conditioning System and Precipitation Data.
Symmetry, 2020

Extended Exponential Regression Model: Diagnostics and Application to Mineral Data.
Symmetry, 2020

A Parametric Quantile Regression Model for Asymmetric Response Variables on the Real Line.
Symmetry, 2020

2019
Skewness of Maximum Likelihood Estimators in the Weibull Censored Data.
Symmetry, 2019

An Asymmetric Bimodal Distribution with Application to Quantile Regression.
Symmetry, 2019

Generalized Truncation Positive Normal Distribution.
Symmetry, 2019

2018
Generalized Modified Slash Birnbaum-Saunders Distribution.
Symmetry, 2018

Truncated Power-Normal Distribution with Application to Non-Negative Measurements.
Entropy, 2018

2017
A simplified estimation procedure based on the EM algorithm for the power series cure rate model.
Commun. Stat. Simul. Comput., 2017

2016
Promotion Time Cure Rate Model with Bivariate Random Effects.
Commun. Stat. Simul. Comput., 2016

Destructive weighted Poisson cure rate models with bivariate random effects: Classical and Bayesian approaches.
Comput. Stat. Data Anal., 2016


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