Journal of Statistical Theory and Applications

Volume 16, Issue 2, June 2017, Pages 239 - 247

E-Bayesian Estimation for Rayleigh Model Using Progressive Type-II Censoring Data

Authors
Rashad Mohamed EL-Sagheer
Corresponding Author
Rashad Mohamed EL-Sagheer
Received 11 November 2015, Accepted 23 November 2016, Available Online 1 June 2017.
DOI
https://doi.org/10.2991/jsta.2017.16.2.8How to use a DOI?
Keywords
Rayleigh distribution; Progressive type-II censoring; Bayesian estimation; E-Bayesian estimation.
Abstract

This article deals with using E-Bayesian method under progressively type-II censored sample from the Rayleigh distribution (RD) for computing the estimates of the parameter. The Bayesian and E-Bayesian estimators are obtained under squared error and LINEX loss functions. A comparison between E-Bayesian method and corresponding Bayes and maximum likelihood methods is presented using the Monte Carlo simulation study.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Journal
Journal of Statistical Theory and Applications
Volume-Issue
16 - 2
Pages
239 - 247
Publication Date
2017/06/01
ISSN (Online)
2214-1766
ISSN (Print)
1538-7887
DOI
https://doi.org/10.2991/jsta.2017.16.2.8How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Rashad Mohamed EL-Sagheer
PY  - 2017
DA  - 2017/06/01
TI  - E-Bayesian Estimation for Rayleigh Model Using Progressive Type-II Censoring Data
JO  - Journal of Statistical Theory and Applications
SP  - 239
EP  - 247
VL  - 16
IS  - 2
SN  - 2214-1766
UR  - https://doi.org/10.2991/jsta.2017.16.2.8
DO  - https://doi.org/10.2991/jsta.2017.16.2.8
ID  - EL-Sagheer2017
ER  -