Testing of Hypotheses for Distributions in Accelerated Life Tests
作者:
J. Sethuraman,
NozerD. Singpurwalla,
期刊:
Journal of the American Statistical Association
(Taylor Available online 1982)
卷期:
Volume 77,
issue 377
页码: 204-208
ISSN:0162-1459
年代: 1982
DOI:10.1080/01621459.1982.10477787
出版商: Taylor & Francis Group
关键词: Accelerated tests;Power rule;Testing hypotheses;Reliability;Dose response experiments;Nonparametric methods
数据来源: Taylor
摘要:
In this paper we consider the problem of inference from accelerated life tests in which a common parametric family of life distributions at the different stress levels is not specified in advance. By assuming a time transformation function, which is a version of the familiar inverse power law, we give a procedure for testing hypotheses that the unknown distributions are specified members of a location-scale family. The behavior of the test procedure is indicated by some simulations. We illustrate the methodology with some real-life data.
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