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Bayesian Estimation Based on Rayleigh Progressive Type II Censored Data with Binomial Removals
Joint Authors
Source
Journal of Quality and Reliability Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-06-05
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Engineering Sciences and Information Technology
Economics & Business Administration
Abstract EN
This study considers the estimation problem for the parameter and reliability function of Rayleigh distribution under progressive type II censoring with random removals, where the number of units removed at each failure time has a binomial distribution.
We use the maximum likelihood and Bayesian procedures to obtain the estimators of parameter and reliability function of Rayleigh distribution.
We also construct the confidence intervals for the parameter of Rayleigh distribution.
Monte Carlo simulation method is used to generate a progressive type II censored data with binomial removals from Rayleigh distribution, and then these data are used to compute the point and interval estimations of the parameter and compare both the methods used with different random schemes.
American Psychological Association (APA)
Azimi, Reza& Yaghmaei, Farhad. 2013. Bayesian Estimation Based on Rayleigh Progressive Type II Censored Data with Binomial Removals. Journal of Quality and Reliability Engineering،Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-506310
Modern Language Association (MLA)
Azimi, Reza& Yaghmaei, Farhad. Bayesian Estimation Based on Rayleigh Progressive Type II Censored Data with Binomial Removals. Journal of Quality and Reliability Engineering No. 2013 (2013), pp.1-6.
https://search.emarefa.net/detail/BIM-506310
American Medical Association (AMA)
Azimi, Reza& Yaghmaei, Farhad. Bayesian Estimation Based on Rayleigh Progressive Type II Censored Data with Binomial Removals. Journal of Quality and Reliability Engineering. 2013. Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-506310
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-506310