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

DOI

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/).

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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  - 10.2991/jsta.2017.16.2.8
ID  - EL-Sagheer2017
ER  -