Power maps in goodness-of-fit testing

被引:0
|
作者
T. Fischer
U. Kamps
机构
[1] RWTH Aachen University,Institute of Statistics
来源
Computational Statistics | 2013年 / 28卷
关键词
Monte Carlo simulation; Power study; Goodness-of-fit tests; Type-II censoring;
D O I
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学科分类号
摘要
For classical goodness-of-fit tests as well as for their modified versions in case of Type-II right censored data, results of a simulation study are presented, where the powers of the tests under consideration against beta alternatives are illustrated in informative, user-oriented plots that offer the possibility to directly choose the best test statistic in a concrete situation, when some prior belief about the alternative is available. The behavior of powers of respective statistical tests as functions of beta parameters is examined and discussed.
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页码:1365 / 1382
页数:17
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