Rand R. Wilcox's Books

Understanding and Applying Basic Statistical Methods Using R

By: Rand R. Wilcox

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Understanding and Applying Basic Statistical Methods Using R

By: Rand R. Wilcox

Features a straightforward and concise resource for introductory statistical concepts, methods, and techniques using R Understanding and Applying Basic Statistical Methods Using R uniquely bridges the gap between advances in the statistical literature and methods routinely used by non-statisticians. Providing a conceptual basis for understanding the relative merits and applications of these methods, the book features modern insights and advances relevant to basic techniques in terms of dealing with non-normality, outliers, heteroscedasticity (unequal variances), and curvature. Featuring a guide to R, the book uses R programming to explore introductory statistical concepts and standard methods for dealing with known problems associated with classic techniques. Thoroughly class-room tested, the book includes sections that focus on either R programming or computational details to help the reader become acquainted with basic concepts and principles essential in terms of understanding and applying the many methods currently available. Covering relevant material from a wide range of disciplines, Understanding and Applying Basic Statistical Methods Using R also includes: Numerous illustrations and exercises that use data to demonstrate the practical importance of multiple perspectives Discussions on common mistakes such as eliminating outliers and applying standard methods based on means using the remaining data Detailed coverage on R programming with descriptions on how to apply both classic and more modern methods using R A companion website with the data and solutions to all of the exercises Understanding and Applying Basic Statistical Methods Using R is an ideal textbook for an undergraduate and graduate-level statistics courses in the science and/or social science departments. The book can also serve as a reference for professional statisticians and other practitioners looking to better understand modern statistical methods as well as R programming. Rand R. Wilcox, PhD, is Professor in the Department of Psychology at the University of Southern California, Fellow of the Association for Psychological Science, and an associate editor for four statistics journals. He is also a member of the International Statistical Institute. The author of more than 320 articles published in a variety of statistical journals, he is also the author eleven other books on statistics. Dr. Wilcox is creator of WRS (Wilcox’ Robust Statistics), which is an R package for performing robust statistical methods. His main research interest includes statistical methods, particularly robust methods for comparing groups and studying associations.

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Page Count

502

Publisher

John Wiley & Sons

Published Date

ISBN 10

1119061407

ISBN 13

9781119061403

New Statistical Procedures for the Social Sciences

Modern Solutions To Basic Problems

By: Rand R. Wilcox

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New Statistical Procedures for the Social Sciences

Modern Solutions To Basic Problems

By: Rand R. Wilcox

This unique volume addresses the inadequacies of basic statistical methods that standard textbooks tend to ignore. The author introduces new procedures with accompanying tables that illustrate the practicality of the methods. Concentrating on basic experimental designs that are central to research in the social sciences, Wilcox describes new nonparametric techniques, two-way ANOVA designs, and new results related to the analysis of covariance and repeated measure design. This book serves as the ideal reference and supplement to standard texts by making the statistical advances of the last thirty years accessible to graduate students and researchers.

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Page Count

440

Publisher

Psychology Press

Published Date

ISBN 10

1135059772

ISBN 13

9781135059774

Introduction to Robust Estimation and Hypothesis Testing

By: Rand R. Wilcox

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Introduction to Robust Estimation and Hypothesis Testing

By: Rand R. Wilcox

This revised book provides a thorough explanation of the foundation of robust methods, incorporating the latest updates on R and S-Plus, robust ANOVA (Analysis of Variance) and regression. It guides advanced students and other professionals through the basic strategies used for developing practical solutions to problems, and provides a brief background on the foundations of modern methods, placing the new methods in historical context. Author Rand Wilcox includes chapter exercises and many real-world examples that illustrate how various methods perform in different situations. Introduction to Robust Estimation and Hypothesis Testing, Second Edition, focuses on the practical applications of modern, robust methods which can greatly enhance our chances of detecting true differences among groups and true associations among variables. * Covers latest developments in robust regression * Covers latest improvements in ANOVA * Includes newest rank-based methods * Describes and illustrated easy to use software

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Page Count

610

Publisher

Academic Press

Published Date

ISBN 10

0127515429

ISBN 13

9780127515427

Basic Statistics

Understanding Conventional Methods and Modern Insights

By: Rand R. Wilcox

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Basic Statistics

Understanding Conventional Methods and Modern Insights

By: Rand R. Wilcox

This introductory statistics textbook for non-statisticians covers basic principles, concepts, and methods routinely used in applied research. What sets this text apart is the incorporation of the many advances and insights from the last half century when explaining basic principles. These advances provide a foundation for vastly improving our ability to detect and describe differences among groups and associations among variables and provide a deeper and more accurate sense of when basic methods perform well and when they fail. Assuming no prior training, Wilcox introduces students to basic principles and concepts in a simple manner that makes these advances and insights, as well as standard ideas and methods, easy to understand and appreciate.

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Page Count

341

Publisher

Oxford University Press

Published Date

ISBN 10

0198043015

ISBN 13

9780198043010

Applying Contemporary Statistical Techniques

By: Rand R. Wilcox

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Applying Contemporary Statistical Techniques

By: Rand R. Wilcox

Applying Contemporary Statistical Techniques explains why traditional statistical methods are often inadequate or outdated when applied to modern problems. Wilcox demonstrates how new and more powerful techniques address these problems far more effectively, making these modern robust methods understandable, practical, and easily accessible.* Assumes no previous training in statistics * Explains how and why modern statistical methods provide more accurate results than conventional methods* Covers the latest developments on multiple comparisons * Includes recent advances in risk-based methods * Features many illustrations and examples using data from real studies * Describes and illustrates easy-to-use s-plus functions for applying cutting-edge techniques * Covers many contemporary ANOVA (analysis of variance) and regression methods not found in other books

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Page Count

676

Publisher

Elsevier

Published Date

ISBN 10

0080527515

ISBN 13

9780080527512

A Guide to Robust Statistical Methods

By: Rand R. Wilcox

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A Guide to Robust Statistical Methods

By: Rand R. Wilcox

Robust statistical methods are now being used in a wide range of disciplines. The appeal of these methods is that they are designed to perform about as well as classic techniques when standard assumptions are true—but they continue to perform well in situations where classic methods perform poorly. This book provides a relatively non-technical guide to modern methods. The focus is on applying modern methods using R, understanding when and why classic methods can be unsatisfactory, and fostering a conceptual understanding of the relative merits of different techniques. A recurring theme is that no single method reveals everything one would like to know about the population under study. An appeal of robust methods is that under general conditions they provide much higher power than conventional techniques. Perhaps more importantly, they help provide a deeper and more nuanced understanding of data. The book is for readers who had at least one semester of statistics, aimed at non-statisticians.

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Page Count

335

Publisher

Springer Nature

Published Date

ISBN 10

3031417135

ISBN 13

9783031417139

Applying Contemporary Statistical Techniques

By: Rand R. Wilcox

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Applying Contemporary Statistical Techniques

By: Rand R. Wilcox

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676

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Elsevier

Published Date

ISBN 10

0080527515

ISBN 13

9780080527512

Introduction to Robust Estimation and Hypothesis Testing

By: Rand R. Wilcox

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Introduction to Robust Estimation and Hypothesis Testing

By: Rand R. Wilcox

This book focuses on the practical aspects of modern and robust statistical methods. The increased accuracy and power of modern methods, versus conventional approaches to the analysis of variance (ANOVA) and regression, is remarkable. Through a combination of theoretical developments, improved and more flexible statistical methods, and the power of the computer, it is now possible to address problems with standard methods that seemed insurmountable only a few years ago"--

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Page Count

713

Publisher

Academic Press

Published Date

ISBN 10

0123869838

ISBN 13

9780123869838

Fundamentals of Modern Statistical Methods

Substantially Improving Power and Accuracy

By: Rand R. Wilcox

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Fundamentals of Modern Statistical Methods

Substantially Improving Power and Accuracy

By: Rand R. Wilcox

Conventional statistical methods have a very serious flaw. They routinely miss differences among groups or associations among variables that are detected by more modern techniques, even under very small departures from normality. Hundreds of journal articles have described the reasons standard techniques can be unsatisfactory, but simple, intuitive explanations are generally unavailable. Situations arise where even highly nonsignificant results become significant when analyzed with more modern methods. Without assuming the reader has any prior training in statistics, Part I of this book describes basic statistical principles from a point of view that makes their shortcomings intuitive and easy to understand. The emphasis is on verbal and graphical descriptions of concepts. Part II describes modern methods that address the problems covered in Part I. Using data from actual studies, many examples are included to illustrate the practical problems with conventional procedures and how more modern methods can make a substantial difference in the conclusions reached in many areas of statistical research. The second edition of this book includes a number of advances and insights that have occurred since the first edition appeared. Included are new results relevant to medians, regression, measures of association, strategies for comparing dependent groups, methods for dealing with heteroscedasticity, and measures of effect size.

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Page Count

255

Publisher

Springer Science & Business Media

Published Date

ISBN 10

1441955240

ISBN 13

9781441955241

Book's by Rand R. Wilcox

Understanding and Applying Basic Statistical Methods Using R

Understanding and Applying Basic Statistical Methods Using R

New Statistical Procedures for the Social Sciences

New Statistical Procedures for the Social Sciences

Introduction to Robust Estimation and Hypothesis Testing

Introduction to Robust Estimation and Hypothesis Testing

Basic Statistics

Basic Statistics

Applying Contemporary Statistical Techniques

Applying Contemporary Statistical Techniques

A Guide to Robust Statistical Methods

A Guide to Robust Statistical Methods

Applying Contemporary Statistical Techniques

Applying Contemporary Statistical Techniques

Introduction to Robust Estimation and Hypothesis Testing

Introduction to Robust Estimation and Hypothesis Testing

Fundamentals of Modern Statistical Methods

Fundamentals of Modern Statistical Methods

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