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189 – Recent Developments in Multiple Testing
A Simulation Study for Pairwise Multiple Comparisons Under Heteroscedasticity
Berna Yazici
Anadolu University
Evren Özkip
Anadolu University
Ahmet Sezer
Anadolu University
Generalized approach has been proved to be useful tools for making inferences in many practical problems. The parametric bootstrap approach is a type of Monte Carlo method applied on observed data. This approach can be applied in situations where samples or sample statistics are not easy to derive. In this paper, we consider simultaneous confidence intervals for one-way ANOVA under unequal variances. We compare two methods based on generalized approach and a parametric bootstrap approach. A Monte Carlo simulation study is conducted to evaluate type I error probabilities and powers of these methods under different scenarios.