Rand Wilcox

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Chapter 6 – Some Multivariate Methods

Rand Wilcox, R. Wilcox, 2017 .

Data Analyses When Sample Sizes Are Small: Modern Advances for Dealing With Outliers, Skewed Distributions, and Heteroscedasticity.

Rand Wilcox, Travis J Peterson, Jill L McNitt-Gray, 2018, Journal of applied biomechanics.

Avoid lost discoveries, because of violations of standard assumptions, by using modern robust statistical methods.

Rand Wilcox, Mike Carlson, Stan Azen, 2013, Journal of clinical epidemiology.

Robust Correlation Analyses: False Positive and Power Validation Using a New Open Source Matlab Toolbox

Guillaume A. Rousselet, Rand Wilcox, Cyril R. Pernet, 2012, Front. Psychology.

Improved methods for making inferences about multiple skipped correlations

Cyril Pernet, Rand Wilcox, Guillaume Rousselet, 2018, Journal of Statistical Computation and Simulation.

Chapter 3 – Estimating Measures of Location and Scale

Rand Wilcox, R. Wilcox, 2017 .

ANCOVA: a heteroscedastic global test when there is curvature and two covariates

Rand Wilcox, R. Wilcox, 2015, Comput. Stat..

Chapter 10 – Robust Regression

Rand Wilcox, 2012 .

Robust statistical methods in R using the WRS2 package

Patrick Mair, Rand Wilcox, R. Wilcox, 2020, Behavior research methods.

An inferential method for determining which of two independent variables is most important when there is curvature

Rand Wilcox, R. Wilcox, 2018, Journal of Modern Applied Statistical Methods.

Chapter 4 – Confidence Intervals in the One-Sample Case

Rand Wilcox, R. Wilcox, 2017 .

Chapter 7 – One-Way and Higher Designs for Independent Groups

Rand Wilcox, R. Wilcox, 2017 .

Chapter 10 – Robust Regression

Rand Wilcox, R. Wilcox, Rand Wilcox, 2012 .