Comparing two independent groups: a test based on a one-step M-estimator and bootstrap-t.
A new test is proposed for the problem of comparing two independent groups in terms of some measure of location. The proposed test () uses a one-step M-estimator and a bootstrap-t method with the procedure proposed by Özdemir and Kurt (2006). Eight methods were compared in terms of actual Type I error and power when the underlying distributions differ in skewness and kurtosis under heterogeneity of variances. For the 21 theoretical distributions, the Yuen test with the bootstrap-t method was the most favourable, followed by test. For the five real data sets, the proposed test and percentile bootstrap method with the one-step M-estimator performed best.
Dokuz Eylül Üniversitesi, Fen Fakültesi İstatistik Bölümü Tınaztepe Yerleşkesi, Buca/İzmir, Turkey. firat.ozdemir@deu.edu.tr
A Fırat
AF
Özdemir
D000704:Analysis of Variance; D003625:Data Collection / Q000706:statistics & numerical data; D006801:Humans; D011336:Probability; D011584:Psychology / Q000706:statistics & numerical data*; D015203:Reproducibility of Results; D012107:Research Design / Q000706:statistics & numerical data; D015983:Selection Bias; D016008:Statistical Distributions