MANOVA Test İstatistiklerinin Monte-Carlo Simülasyonu ile Bernoulli Dağılımında Karşılaştırılması
Bu
çalışmanın amacı, Manova test istatistiklerinin sağlamlığını Monte Carlo
simülasyonunu kullanılarak I.tip hata bakımından kıyaslamaktır. Yöntemde,
sayılar g = 3,4,5 grup için p = 3,5,7 bağımlı değişkene ait n = 10,30,60
örneklem büyüklüğü kullanılarak sabit ve artan varyansta R programlama dili
kullanılarak üretilmiştir. 54 kombinasyonda hesaplanan I.Tip hatalardan,
nominal α =0.05 değerinden en az
uzaklaşan test istatistiği Pillai İz test istatistiği olmuştur. Wilk Lambda ve
Hotelling-Lawley İz test istatistikleri ise birbirlerine yakın sonuç
vermişlerdir. Araştırıcılar analizlerinin karar aşamasında önerilen kıyaslama
sonuçlarına göre karar verebilirler.
A Monte Carlo Simulation Study Robustness of MANOVA Test Statistics in Bernoulli Distribution
The aim
of this study is to compare the robustness of Manova test statistics against
Type I error rate using the Monte Carlo simulation technique. In the method,
numbers are generated according to constant and increasing variance for g=3,4,5 group p=3,5,7 dependent variables n=10,30,60
sample size using the R. Numbers have been produced using these 54
combinations. Pillai Trace test statistic has been the least deviating from the
nominal α =0.05
value. Wilk Lambda and Hotelling-Lawley Trace test results were close to each
other. The researchers can decide according to the comparison results of the
analysis's suggested decision stage.
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