TYPE I ERROR RATES AND TEST POWER FOR SOME OUTLIER DETECTING TESTS

被引：0

作者：

Yigit, Soner ^{[1
]}

Mendes, Mehmet ^{[1
]}

Mirtagioglu, Hamit ^{[2
]}

机构：

[1] Canakkale Onsekiz Mart Univ, Biometry & Genet Unit, Fac Agr, Dept Anim Sci, TR-17020 Canakkale, Turkey

[2] Yuzuncu Yil Univ, Agr Fac, Anim Sci Dept, Biometry & Genet Unit, Van, Turkey

来源：

ADVANCES AND APPLICATIONS IN STATISTICS | 2011年 / 21卷 / 02期

关键词：

outlier; Type I error; test p ower; Weisberg t-test; Grubbs test;

D O I：

暂无

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：

This study is conducted to compare some outlier detection tests such as Grubbs, Dixon, Chauvenet criterion and Weisberg t-test with respect to Type I error rate and test power. For this purpose, random numbers from normal population are generated by Monte Carlo simulation technique. Results of 50,000 simulation trials showed that the Weisberg t-test gave the most reliable results with respect to the others. Chauvenet criterion has followed this test. Dixon and Grubbs tests have not displayed reliable results except for studying with small sample sizes. As a result, regardless of the sample size being studied, Weisberg t-test should be used as detecting whether there is an outlier in the data set or not.

引用

页码：159 / 167

页数：9

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