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Synopsis
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.
"synopsis" may belong to another edition of this title.
About the Author
Rand R. Wilcox is Professor of Psychology, USC Dornsife College of Letters, Arts and Sciences. He has written 15 other statistics books, including Fundamentals of Modern Statistical Methods: Substantially Improving Power and Accuracy, 2nd edition (2010), over 400 journal articles, is a former associate editor for 5 statistics journals, is an elected member of the International Statistical Institute and he created the R package, WRS.
From the Back Cover
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.
"About this title" may belong to another edition of this title.
- PublisherSpringer
- Publication date2024
- ISBN 10 3031417151
- ISBN 13 9783031417153
- BindingPaperback
- LanguageEnglish
- Number of pages344
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A Guide to Robust Statistical Methods
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Springer Nature Switzerland, Springer International Publishing Okt 2024, 2024
ISBN 10: 3031417151
ISBN 13: 9783031417153
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 344 pp. Englisch. Seller Inventory # 9783031417153
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A Guide to Robust Statistical Methods
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ISBN 10: 3031417151
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9783031417153
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A Guide to Robust Statistical Methods
Published by
Springer Nature Switzerland, Springer Nature Switzerland Okt 2024, 2024
ISBN 10: 3031417151
ISBN 13: 9783031417153
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Taschenbuch. Condition: Neu. Neuware -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 trueżbut 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 344 pp. Englisch. Seller Inventory # 9783031417153
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