An extended odd log-logistic-Lindley distribution with properties, applications and Bayesian estimation
An extended odd log-logistic-Lindley distribution with properties, applications and Bayesian estimation
Author(s): Abbas Eftekharian, Morad Alizadeh, Vahid Ranjbar, Omid Kharazmi, G.G. HamedaniSubject(s): Social Sciences, Economy
Published by: Główny Urząd Statystyczny
Keywords: Bayesian estimation; Gibbs sampling; Lindley distribution; moment; odd loglogistic; simulation;
Summary/Abstract: This paper introduces a four-parameter extended odd log-logistic-Lindley distribution from which moments, hazard, and quantile functions are then obtained. The statistical properties of this distribution show the high flexibility of the proposed distribution. The maximum likelihood and least-squares estimators of the extended odd log-logistic-Lindley parameters are studied. Moreover, a simulation study is carried out for evaluating the performance of the estimation methods, and the usefulness of the new distribution is illustrated using two real data sets. Finally, Bayesian analysis and efficiency of Gibbs sampling are provided on the basis of two real data sets.
Journal: Statistics in Transition. New Series
- Issue Year: 27/2026
- Issue No: 1
- Page Range: 85-103
- Page Count: 18
- Language: English
