Inferences for Accelerated Life Tests Considering a Bivariate Exponential Distribution
作者:
Jorge Alberto Achcar,
期刊:
Statistics
(Taylor Available online 1995)
卷期:
Volume 26,
issue 3
页码: 269-283
ISSN:0233-1888
年代: 1995
DOI:10.1080/02331889508802495
出版商: Gordon & Breach Science Publishers
关键词: Bivariate exponential distribution;accelerated life tests;reparametrization;Bayesian methods
数据来源: Taylor
摘要:
In this paper, we present some considerations on inferences based on the use of asymptotical normality of the maximum likelihood estimators of the bivariate exponential distribution (BVED) of Block and Basu (1974) considering accelerated life tests with a power rule model. We show in one numerical example, the effect of a different parametrization to improve the accuracy of the obtained inferences on the parameters of the model. We also consider Bayesian methods to get inferences on the parameters of the BVED applied to accelerated life tests.
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