The dual Function Two Highly Robust Estimators Of Scale.

Two statistics for testing the equality of central tendency measures under conditions of variance heterogeneity and non-normality, i.e. S1 and MOM-H, were compared in the context of a one-way completely randomized design

Comparison of Tukey's T-Method and Scheffé's S-Method for Various Numbers of All Possible Differences of Averages Contrasts Under Violation of Assumptions

Empirical .05 and .01 rates of Type I error were compared for the Tukey and Scheffé multiple comparison techniques. The experimentwise error rate was defined over five sets of the all possible 25 differences of averages contrasts. The robustness of the Tukey and Scheffé statistics was not only related to the type of assumption violation, but also to the sets containing different numbers of contrasts. The Tukey method could be judged as robust a statistic as the Scheffé method.Yeshttps://us.sagepub.com/en-us/nam/manuscript-submission-guideline

Power and sample size calculations for multivariate linear models with random explanatory variables

MANCOVA, MANOVA, multivariate regression, noncentral F distribution.,

Compative robustness of six tests in repeated measures designs with specified departures from sphericity

Type I error, Autoregressive stationary matrix, Structured non-stationary autoregressive matrix, Arbitrary non-stationary autoregressive matrix, Non-stationary matrix with arbitrary correlation,