TYPE I ERROR RATES AND TEST POWER FOR SOME OUTLIER DETECTING TESTS
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Tarih
2011
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Pushpa Publishing House
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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.
Açıklama
Anahtar Kelimeler
outlier, Type I error, test p ower, Weisberg t-test, Grubbs test
Kaynak
Advances and Applications in Statistics
WoS Q Değeri
N/A
Scopus Q Değeri
Cilt
21
Sayı
2
