Step-Down Multiple Comparison Procedures Using Medians and Permutation Tests

Multiple Comparison of Medians Using Permutation Tests

A Gentle Introduction to Resampling Techniques

2 Overview of resampling 2 Permutation Methods 3 Bootstrapping 3 Monte Carlo 4 Failure of t-test: Girl Scout cookie sales 4 Demonstration of permutations 5 Demonstration of Howell‟s resampling programs 5 Howell‟s example: Hurry up, Fella! 5 parametric t 6 Permutation tests (also called Randomization tests) 6 t as a measure of an effect 6 Howell‟s Resampling program 7 Howell‟s Randomization (per...

OPTIMUM GENERALIZED COMPOUND LINEAR PLAN FOR MULTIPLE-STEP STEP-STRESS ACCELERATED LIFE TESTS

In this paper, we consider an  i.e., multiple step-stress accelerated life testing (ALT) experiment with unequal duration of time . It is assumed that the time to failure of a product follows Rayleigh distribution with a log-linear relationship between stress and lifetime and also we assume a generalized Khamis-Higgins model for the effect of changing stress levels. Taking into account that the...

QuickMMCTest: quick multiple Monte Carlo testing

Multiple hypothesis testing is widely used to evaluate scientific studies involving statistical tests. However, for many of these tests, p-values are not available and are thus often approximated using Monte Carlo tests such as permutation tests or bootstrap tests. This article presents a simple algorithm based on Thompson Sampling to test multiple hypotheses. It works with arbitrary multiple t...

Mass univariate analysis of event-related brain potentials/fields II: Simulation studies.

Mass univariate analysis is a relatively new approach for the study of ERPs/ERFs. It consists of many statistical tests and one of several powerful corrections for multiple comparisons. Multiple comparison corrections differ in their power and permissiveness. Moreover, some methods are not guaranteed to work or may be overly sensitive to uninteresting deviations from the null hypothesis. Here w...