Unbiased estimation of reliability for two-parameter exponential distribution under time censored sampling

S. Sengupta

Applicationes Mathematicae (2010)

  • Volume: 37, Issue: 1, page 99-111
  • ISSN: 1233-7234

Abstract

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The problem considered is that of unbiased estimation of reliability for a two-parameter exponential distribution under time censored sampling. We give necessary and sufficient conditions for the existence of uniformly minimum variance unbiased estimator and also provide a characterization of a complete class of unbiased estimators in situations where unbiased estimators exist.

How to cite

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S. Sengupta. "Unbiased estimation of reliability for two-parameter exponential distribution under time censored sampling." Applicationes Mathematicae 37.1 (2010): 99-111. <http://eudml.org/doc/279966>.

@article{S2010,
abstract = {The problem considered is that of unbiased estimation of reliability for a two-parameter exponential distribution under time censored sampling. We give necessary and sufficient conditions for the existence of uniformly minimum variance unbiased estimator and also provide a characterization of a complete class of unbiased estimators in situations where unbiased estimators exist.},
author = {S. Sengupta},
journal = {Applicationes Mathematicae},
language = {eng},
number = {1},
pages = {99-111},
title = {Unbiased estimation of reliability for two-parameter exponential distribution under time censored sampling},
url = {http://eudml.org/doc/279966},
volume = {37},
year = {2010},
}

TY - JOUR
AU - S. Sengupta
TI - Unbiased estimation of reliability for two-parameter exponential distribution under time censored sampling
JO - Applicationes Mathematicae
PY - 2010
VL - 37
IS - 1
SP - 99
EP - 111
AB - The problem considered is that of unbiased estimation of reliability for a two-parameter exponential distribution under time censored sampling. We give necessary and sufficient conditions for the existence of uniformly minimum variance unbiased estimator and also provide a characterization of a complete class of unbiased estimators in situations where unbiased estimators exist.
LA - eng
UR - http://eudml.org/doc/279966
ER -

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