Testing equality of variances for several normal populations


COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, vol.46, no.1, pp.38-52, 2017 (SCI-Expanded) identifier identifier


In this study, we develop a test based on computational approach for the equality of variances of several normal populations. The proposed method is numerically compared with the existing methods. The numeric results demonstrate that the proposed method performs very well in terms of type I error rate and power of test. Furthermore we study the robustness of the tests by using simulation study when the underlying data are from t, exponential and uniform distributions. Finally we analyze a real dataset that motivated our study using the proposed test.