A Monte Carlo Simulation Study Robustness of Manova Test Statistics in Bernoulli and Uniform Distribution
| Autor: | KOÇ, Şeyma, ÇANGA, Demet, ÖNEM, Ayşe Betül, YAVUZ, Esra, ŞAHİN, Mustafa |
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| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: | |
| Zdroj: | Volume: 2, Issue: 2 42-51 Black Sea Journal of Engineering and Science |
| ISSN: | 2619-8991 |
| Popis: | Theaim of this study is to compare the robustness of Manova test statisticsagainst the Type I error rate using the Monte Carlo simulation in Bernoulli andUniform distribution. In the method, numbers have been generated according toconstant and increasing variance for g= 3, 4, 5 group p= 3, 5, 7 dependentvariables n= 10, 30, 60 sample size using the RStudio. The specifiedcombinations have been repeated 10,000 times. As the result Pillai Trace teststatistic has been the least deviating from the nominal α =0.05 value. WilkLambda and Hotelling-Lawley Trace test statistics results have been close toeach other. Researchers can get help from these suggested results during theirown study. |
| Databáze: | OpenAIRE |
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