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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