@article{article_484678, title={A Monte Carlo Simulation Study Robustness of Manova Test Statistics in Bernoulli and Uniform Distribution}, journal={Black Sea Journal of Engineering and Science}, volume={2}, pages={42–51}, year={2019}, author={Koç, Şeyma and Çanga, Demet and Önem, Ayşe Betül and Yavuz, Esra and Şahin, Mustafa}, keywords={Monte-Carlo,Simulation,Bernoulli,Uniform}, abstract={<span lang="en-us" style="font-size:9pt;font-family:Cambria, serif;" xml:lang="en-us">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. </span>}, number={2}, publisher={Karyay Karadeniz Yayımcılık Ve Organizasyon Ticaret Limited Şirketi}