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Inferences for Accelerated Life Tests Considering a Bivariate Exponential Distribution
Author:
Jorge Alberto Achcar a
| Affiliation: | a Universidade de Sao Paulo, |
DOI:
10.1080/02331889508802495
Publication Frequency:
6 issues per year
Subjects:
Mathematical Statistics;
Statistical Theory & Methods;
Statistics;
Statistics for the Biological Sciences;
Stochastic Models & Processes;
Formats available:
PDF
(English)
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Abstract
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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| Keywords: Bivariate exponential distribution; accelerated life tests; reparametrization; Bayesian methods |
| view references (11) : view citations |
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