Permutation Statistical Methods with R

Kenneth J. Berry earned his Ph.D. in Sociology at the University of Oregon and is Professor in the Department of Sociology at Colorado State University, Fort Collins, Colorado, USA. His research interests are in non-parametric and distribution-free statistical methods.Kenneth L. Kvamme earned his Ph.D. in Anthropology at the University of California, Santa Barbara and is Professor in the Department of Anthropology and Director of the Archeo-Imagining Laboratory at the University of Arkansas, Fayetteville, Arkansas, USA. His research interests include archeological computer applications, GIS, lithic technology, remote sensing, geophysical prospecting, and spatial analysis methods.Janis E. Johnston earned her Ph.D. in Sociology at Colorado State University and is a Senior Technical Advisor for the U.S. Government in Alexandria, Virginia, USA and a Faculty Affiliate in the Department of Sociology at Colorado State University, Fort Collins, Colorado,USA.Paul W. Mielke, Jr. earned his Ph.D. in Biostatistics at the University of Minnesota and was Emeritus Professor of Statistics at Colorado State University, Fort Collins, Colorado, USA, and Fellow of the American Statistical Association. His research interests were in multivariate statistics and permutation statistical methods. Paul Mielke passed away on 20 April 2019.

• Preface.- 1 Introduction.- 2 The R Programming Language.- 3 Permutation Statistical Methods.- 4 Central Tendency and Variability.- 5 One-sample Tests.- 6 Two-sample Tests.- 7 Matched-pairs Tests.- 8 Completely-randomized Designs.- 9 Randomized-blocks Designs.- 10 Correlation and Association.- 11 Chi-squared and Related Measures.- References.- Index.

“This book is a real gem for statistics lovers for several reasons (novelty and depth of the topics covered, facilities to understand them for newcomers to statistics, to name just a few).” (Oscar Bustos, zbMATH 1480.62001, 2022)