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A New Approach to Testing Goodness of Fit for Censored Samples

 

作者: JohnR. Michael,   WilliamR. Schucany,  

 

期刊: Technometrics  （Taylor Available online 1979）
卷期: Volume 21, issue 4  

页码: 435-441

 

ISSN:0040-1706

 

年代: 1979

 

DOI:10.1080/00401706.1979.10489813

 

出版商: Taylor & Francis Group

 

关键词: Transformations;EDF statistics;Order statistics

 

数据来源: Taylor

 

摘要:

A new approach is proposed for testing goodness of fit for censored samples. A transformation is applied so that the transformed censored sample behaves under the null hypothesis like a complete sample from the uniform (0,1) distribution. Any standard goodness-of-fit test can then be applied using existing tables. Empirical comparisons indicate that the proposed technique provides better overall power than other existing methods.

 

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