Black Sea Journal of Engineering and Science

Black Sea Journal of Engineering and Science

A Monte Carlo Simulation Study Robustness of Manova Test Statistics in Bernoulli and Uniform Distribution

Yazarlar: Şeyma KOÇ, Demet ÇANGA, Ayşe Betül ÖNEM, Esra YAVUZ, Mustafa ŞAHİN

Cilt 2 , Sayı 2 , 2019 , Sayfalar 42 - 51

Konular:Mühendislik

Anahtar Kelimeler:Monte-Carlo,Simulation,Bernoulli,Uniform

Özet: The aim of this study is to compare the robustness of Manova test statistics against the Type I error rate using the Monte Carlo simulation in Bernoulli and Uniform distribution. In the method, numbers have been 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 RStudio. The specified combinations have been repeated 10,000 times. As the result Pillai Trace test statistic has been the least deviating from the nominal α =0.05 value. Wilk Lambda and Hotelling-Lawley Trace test statistics results have been close to each other. Researchers can get help from these suggested results during their own study.

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@article{2019, title={A Monte Carlo Simulation Study Robustness of Manova Test Statistics in Bernoulli and Uniform Distribution}, volume={2}, number={2}, publisher={Black Sea Journal of Engineering and Science}, author={Şeyma KOÇ,Demet ÇANGA,Ayşe Betül ÖNEM,Esra YAVUZ,Mustafa ŞAHİN}, year={2019}, pages={42–51} }
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Şeyma KOÇ,Demet ÇANGA,Ayşe Betül ÖNEM,Esra YAVUZ,Mustafa ŞAHİN. (2019). A Monte Carlo Simulation Study Robustness of Manova Test Statistics in Bernoulli and Uniform Distribution (Vol. 2, pp. 42–51). Vol. 2, pp. 42–51. Black Sea Journal of Engineering and Science.
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Şeyma KOÇ,Demet ÇANGA,Ayşe Betül ÖNEM,Esra YAVUZ,Mustafa ŞAHİN. A Monte Carlo Simulation Study Robustness of Manova Test Statistics in Bernoulli and Uniform Distribution. no. 2, Black Sea Journal of Engineering and Science, 2019, pp. 42–51.
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