Work

Bias Reduction of Modified Maximum Likelihood Estimates for a Three-Parameter Weibull Distribution

Year: 2025

Type: article

Abstract: In this work, we investigate the parameter estimation problem based on the three-parameter Weibull models, for which non-finite estimates may be obtained for the log-likelihood function in some regions of the parametric space. Based on an information criterion with penalization of the modified log-likelihood function, we propose a new class of estimators for this distribution model. In addition to providing finite estimates for the model parameters, this procedure reduces the bias of the modified estimator. The performance of the new estimator is evaluated through simulations and real-life data set modeling. An economic application on a real data set is discussed, as well as an engineering one.

Source: Entropy

DOI: 10.3390/e27050485

Authors: Adriana da Silva, Felipe Quintino, Frederico Almeida, Dióscoros Aguiar

Institutions: Universidade de Brasília, Universidade Federal de Jataí

Language: English

Topic: Statistical Distribution Estimation and Applications

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $3,137

Funder: Universidade de Brasília