On the Performance of Power of Tests for the Comparison of Exponential Distributions
作者:
SatyaD. Dubey,
期刊:
Technometrics
(Taylor Available online 1973)
卷期:
Volume 15,
issue 1
页码: 183-186
ISSN:0040-1706
年代: 1973
DOI:10.1080/00401706.1973.10489021
出版商: Taylor & Francis Group
关键词: Exponential Distribution;Location Parameter;Censored Data;Likelihood Ratio;Power of Tests
数据来源: Taylor
摘要:
In this paper power functions are derived for the likelihood ratio test and the Kumar-Pate1 test which are based on right-censored samples for testing the equality of location parameters of two exponential distributions when their common scale parameter is unknown. It is further indicated that the power of the likelihood ratio test is monotonic and is completely unbiased. On the other hand, the Kumar-Patel test is biased near the origin except for equal sample sizes.
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