Shorter Communication: Inferences on the Shape Parameter of a Gamma Distribution: A Conditional Approach
作者:
AugustineC. M. Wong,
期刊:
Technometrics
(Taylor Available online 1992)
卷期:
Volume 34,
issue 3
页码: 348-351
ISSN:0040-1706
年代: 1992
DOI:10.1080/00401706.1992.10485284
出版商: Taylor & Francis Group
关键词: Confidence distribution function;Observed likelihood;Observed significance levels;Saddlepoint method
数据来源: Taylor
摘要:
A conditional method for inferences on the shape parameter of a two-parameter gamma distribution is presented in this article. A simple numerical implementation of this conditional method is developed; this is a computer program that takes the observed data as input and produces the confidence distribution function for the shape parameter, which in turn provides approximate observed significance levels and confidence intervals for that parameter, as output. These approximations are extremely accurate even for very small sample size and are numerically simple and easy to obtain.
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