Bayesian and Non-Bayesian Inference for the Generalized Pareto Distribution Based on Progressive Type II Censored Sample

Bayesian and Non-Bayesian Inference for the Generalized Pareto Distribution Based on Progressive Type II Censored Sample

In this paper, first we consider the maximum likelihood estimators for two unknown parameters, reliability and hazard functions of the generalized Pareto distribution under progressively Type II censored sample. Next, we discuss the asymptotic confidence intervals for two unknown parameters, reliabi...

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Bibliographic Details
Main Authors: Xuehua Hu, Wenhao Gui
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Mathematics
Subjects:
generalized pareto distribution
progressive type ii censored samples
maximum likelihood estimator
delta method
Gibbs and Metropolis-Hasting algorithm
balanced loss function
Online Access:https://www.mdpi.com/2227-7390/6/12/319

Internet

https://www.mdpi.com/2227-7390/6/12/319

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