The Bayesian Kaplan Meier Model Under the Classical Nonparametric Bootstrap

Journal of Economics, Finance and Accounting Studies

View Publication Info
 
 
Field Value
 
Title The Bayesian Kaplan Meier Model Under the Classical Nonparametric Bootstrap
 
Creator Hamimes, Ahmed
Benamirouche, Rachid
 
Subject Bayesian approach
bootstrap
unemployment durations
the local employment agency of Ain El Benian
 
Description This study aims to introduce and encourage the other to use bootstrap methods in statistical survival analysis. We show how to bootstrap the Kaplan-Meier Bayesian estimator and pay attention to its advantage unlike the classical Bayesian analysis of the Kaplan Meier method. In our study, we essentially try to focus on the application of Kaplan Meier Bayesian models in the estimation of unemployment durations of those registered with the local employment agency of Ain El Benian, with the aim of to determine the role of bootstrap in improving the quality of estimation. We find that the choice between the period models of the same family is likely to produce a multitude of decisions from the results of the application. A Bayesian survival method based on the Kaplan Meier model with the classical nonparametric bootstrap provides realistic solutions for a number of individuals of different nature, simple and relatively easy to exploit numerically global durations.
 
Publisher Al-Kindi Center for Research and Development
 
Date 2020-12-09
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://al-kindipublisher.com/index.php/jefas/article/view/780
 
Source Journal of Economics, Finance and Accounting Studies ; Vol. 2 No. 2 (2020): Journal of Economics, Finance and Accounting Studies; 43-53
2709-0809
 
Language eng
 
Relation https://al-kindipublisher.com/index.php/jefas/article/view/780/713
 
Rights Copyright (c) 2020 Journal of Economics, Finance and Accounting Studies
https://creativecommons.org/licenses/by-nc/4.0
 

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