Estimation of parameters of exponential distribution when the observations are progressive type II censored
Author & Affiliation:
V. Shastri
Department of Statics, Govt. Arts & Science College, Ratlam (M.P.) INDIA)
S. Pamari
Department of Statics, Govt. Arts & Science College, Ratlam (M.P.) INDIA)
R. Shastri
Department of Statics, Govt. Arts & Science College, Ratlam (M.P.) INDIA)
Keyword:
Progressive type II censoring, exponential distribution, maximum likelihood estimators, Bayes estimators, Monte Carlo Simulation
Issue Date:
August 2010
Abstract:
The paper deals with the 1-parameter exponential distribution when the observations are progressive type II censored. Using a generalized non-informative prior, Bayes estimators of scale parameter and reliability function are proposed. The proposed estimators are compared with their corresponding MLE's and BLUE's on the besis of a Monte Carlo Simulation study of 1000 samples.
Pages:
607-614
ISSN:
2319-8044 (Online) - 2231-346X (Print)
Source:
PDF:
DOI:
jusps-A
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V. Shastri; S. P. ; R. Shastri, "Estimation of parameters of exponential distribution when the observations are progressive type II censored ", Journal of Ultra Scientist of Physical Sciences, Volume 22, Issue 2, Page Number 607-614, 2018Copy the following to cite this URL:
V. Shastri; S. P. ; R. Shastri, "Estimation of parameters of exponential distribution when the observations are progressive type II censored ", Journal of Ultra Scientist of Physical Sciences, Volume 22, Issue 2, Page Number 607-614, 2018Available from: https://www.ultrascientist.org/paper/1010/
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