There is a vast array of new and improved methods for comparing groups and studying
associations that offer the potential for substantially increasing power, providing improved …

This paper introduces the R package WRS2 that implements various robust statistical
methods. It elaborates on the basics of robust statistics by introducing robust location …

Over 30 years ago, Tukey made it evident that slight departures from normality can
substantially lower power when means are compared, and that a popular measure of effect …

Traffic data missing issues due to unpredictable equipment failure, extreme weather, and
other reasons have brought great challenges to traffic flow prediction modeling. In this …

Conventional statistical methods have a very serious flaw: They routinely miss differences
among groups or associations among variables that are detected by more modern …

Requiring no prior training, Modern Statistics for the Social and Behavioral Sciences
provides a two-semester, graduate-level introduction to basic statistical techniques that …

Meta‐analysis is the use of statistical methods to summarize research findings across
studies. Special statistical methods are usually needed for meta‐analysis, both because …

Various statistical methods, developed after 1970, offer the opportunity to substantially
improve upon the power and accuracy of the conventional t test and analysis of variance …

Hundreds of articles in statistical journals have pointed out that standard analysis of
variance, Pearson product-moment correlations, and least squares regression can be highly …

The study of brain function is one of the most fascinating pursuits of m-ern science.
Functional neuroimaging is an important component of much of the current research in …