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The Exceedance Test for Truncation of a Supplier's Data

 

作者: J.J. Deely,   D.E. Amos,   G.P. Steck,  

 

期刊: Journal of the American Statistical Association  (Taylor Available online 1969)
卷期: Volume 64, issue 327  

页码: 823-829

 

ISSN:0162-1459

 

年代: 1969

 

DOI:10.1080/01621459.1969.10501014

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

The purpose of this paper is to present an easily applied test useful in determining whether or not a supplier's data have been truncated. The proposed test has the following desirable properties: (i) it is the uniformly most powerful rank test, (ii) it is asymptotically uniformly most powerful, (iii) power computations can easily be made for arbitrary sample sizes, formulas for such computations being given in the paper. Although formulated in the context of verifying a supplier's data, the test can be applied to other situations in which false representation of data in the form of truncation is important. Such is the case, for example, in reliability demonstrations or legal suits involving physical measurements.

 

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