A computational approach for testing equality of coefficients of variation in k normal populations
HACETTEPE JOURNAL OF MATHEMATICS AND STATISTICS, cilt.44, sa.5, ss.1197-1213, 2015 (SCI-Expanded, Scopus, TRDizin)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 44 Sayı: 5
- Basım Tarihi: 2015
- Doi Numarası: 10.15672/hjms.2014317482
- Dergi Adı: HACETTEPE JOURNAL OF MATHEMATICS AND STATISTICS
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, TR DİZİN (ULAKBİM)
- Sayfa Sayıları: ss.1197-1213
- Anahtar Kelimeler: Computational approach test, Generalized p-value test, Likelihood ratio test, Modified Bennett's test, Score test, GENERALIZED P-VALUES, DISTRIBUTIONS, INFERENCES, SIMULATION
- Gazi Üniversitesi Adresli: Evet
Özet
In this article, a testing procedure based on computational approach testis proposed for the equality of coefficients of variation in k normal populations. We compare this procedure to some of the existing tests; the likelihood ratio, modified Bennett's, score, generalized p-value tests in terms of the estimated type I error rates and powers by using Monte Carlo simulation. Furthermore, applications of these tests are given on a real dataset.