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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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