Items related to A Guide to Robust Statistical Methods
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.
Search results for A Guide to Robust Statistical Methods
Stock Image
Guide to Robust Statistical Methods
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # 46919802-n
Quantity: Over 20 available
Stock Image
A Guide to Robust Statistical Methods
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In. Seller Inventory # ria9783031417122_new
Quantity: Over 20 available
Seller Image
A Guide to Robust Statistical Methods
Published by
Springer Nature Switzerland, 2023
ISBN 10: 3031417127
ISBN 13: 9783031417122
New
Hardcover
Seller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Examines properties of robust estimators and their relative meritsFocuses on heteroscedastic techniques, including recent advances dealing multicollinearityContains recent advances dealing with measures effect size and outliers, including b. Seller Inventory # 945398456
Quantity: Over 20 available
Stock Image
Guide to Robust Statistical Methods
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition. Seller Inventory # 46919802
Quantity: Over 20 available
Seller Image
A Guide to Robust Statistical Methods
Published by
Springer Nature Switzerland, Springer Nature Switzerland Okt 2023, 2023
ISBN 10: 3031417127
ISBN 13: 9783031417122
New
Hardcover
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. 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 # 9783031417122
Quantity: 2 available
Stock Image
A Guide to Robust Statistical Methods
Seller: California Books, Miami, FL, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # I-9783031417122
Quantity: Over 20 available
Seller Image
A Guide to Robust Statistical Methods
Published by
Springer Nature Switzerland, Springer Nature Switzerland, 2023
ISBN 10: 3031417127
ISBN 13: 9783031417122
New
Hardcover
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Buch. 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 # 9783031417122
Quantity: 1 available
Stock Image
Guide to Robust Statistical Methods
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # 46919802-n
Quantity: Over 20 available
Stock Image
Guide to Robust Statistical Methods
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition. Seller Inventory # 46919802
Quantity: Over 20 available
Stock Image
A Guide to Robust Statistical Methods
Seller: Books Puddle, New York, NY, U.S.A.
Seller rating 4 out of 5 stars
Condition: New. pp. 344. Seller Inventory # 26398554523
Quantity: 4 available