Power maps in goodness-of-fit testing

被引:2
|
作者
Fischer, T. [1 ]
Kamps, U. [1 ]
机构
[1] Rhein Westfal TH Aachen, Inst Stat, D-52056 Aachen, Germany
关键词
Monte Carlo simulation; Power study; Goodness-of-fit tests; Type-II censoring; KOLMOGOROV-SMIRNOV TEST; VON MISES STATISTICS; II CENSORED SAMPLES; BETA DISTRIBUTION; ORDER-STATISTICS; ASYMPTOTIC POWER; UNIFORMITY; COMPONENTS; TRANSFORMATION; ALTERNATIVES;
D O I
10.1007/s00180-012-0361-x
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
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.
引用
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页码:1365 / 1382
页数:18
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