A Study of Distributional Shape in Life Testing
作者:
VernT. Farewell,
RossL. Prentice,
期刊:
Technometrics
(Taylor Available online 1977)
卷期:
Volume 19,
issue 1
页码: 69-75
ISSN:0040-1706
年代: 1977
DOI:10.1080/00401706.1977.10489501
出版商: Taylor & Francis Group
关键词: Life Testing;Log-gamma Regression;Lognormal Distribution;Weibull Distribution;Log-linear Models;Maximized Relative Likelihood
数据来源: Taylor
摘要:
Exponential, Weibull, gamma and log-normal models are frequently used in the analysis of failure time data. By extending the generalized gamma model of Stacy [l5]. Prentice [13] showed that the models listed are all embraced by a single parametric family. Likelihood methods were described for discrimination among the special cases and for assessment of each within the more comprehensive framework. Here, such methods are applied to several recent data sets from the industrial and medical literature in order to study distributional shape. New results are given for the accommodation of censoring and regression variables. The appropriateness of Weibull and lognormal models is emphasized.
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