
Robust Statistical Methods with R, Second Edition
Chapman & Hall/CRC (Publisher)
2nd Edition
Published on 30. June 2021
Book
Paperback/Softback
268 pages
978-1-032-09260-7 (ISBN)
Description
The second edition of Robust Statistical Methods with R provides a systematic treatment of robust procedures with an emphasis on new developments and on the computational aspects. There are many numerical examples and notes on the R environment, and the updated chapter on the multivariate model contains additional material on visualization of multivariate data in R. A new chapter on robust procedures in measurement error models concentrates mainly on the rank procedures, less sensitive to errors than other procedures. This book will be an invaluable resource for researchers and postgraduate students in statistics and mathematics.
Features
* Provides a systematic, practical treatment of robust statistical methods
* Offers a rigorous treatment of the whole range of robust methods, including the sequential versions of estimators, their moment convergence, and compares their asymptotic and finite-sample behavior
* The extended account of multivariate models includes the admissibility, shrinkage effects and unbiasedness of two-sample tests
* Illustrates the small sensitivity of the rank procedures in the measurement error model
* Emphasizes the computational aspects, supplies many examples and illustrations, and provides the own procedures of the authors in the R software on the book's website
Features
* Provides a systematic, practical treatment of robust statistical methods
* Offers a rigorous treatment of the whole range of robust methods, including the sequential versions of estimators, their moment convergence, and compares their asymptotic and finite-sample behavior
* The extended account of multivariate models includes the admissibility, shrinkage effects and unbiasedness of two-sample tests
* Illustrates the small sensitivity of the rank procedures in the measurement error model
* Emphasizes the computational aspects, supplies many examples and illustrations, and provides the own procedures of the authors in the R software on the book's website
More details
Edition
2nd edition
Language
English
Place of publication
Oxford
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Illustrations
28 s/w Abbildungen
28 Illustrations, black and white
Dimensions
Height: 234 mm
Width: 156 mm
Thickness: 15 mm
Weight
415 gr
ISBN-13
978-1-032-09260-7 (9781032092607)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Jana Jureckova | Jan Picek | Martin Schindler
Robust Statistical Methods with R, Second Edition
E-Book
05/2019
2nd Edition
Chapman & Hall/CRC
€61.99
Available for download

Jana Jureckova | Jan Picek | Martin Schindler
Robust Statistical Methods with R, Second Edition
E-Book
05/2019
2nd Edition
Chapman & Hall/CRC
€61.99
Available for download

Jana Jureckova | Jan Picek | Martin Schindler
Robust Statistical Methods with R, Second Edition
Book
05/2019
2nd Edition
CRC Press
€178.27
Shipment within 10-20 days
Persons
Jana Jureckova is a Professor of Statistics at the Charles University, Prague.
Content
Introduction
Mathematical tools of robustness
Characteristics of robustness
Estimation of real parameter
Linear model
Multivariate model
Large sample and finite sample behavior of robust estimators
Robust and nonparametric procedures in measurement error models
Appendix A
Bibliography, Subject Index, Author Index
Mathematical tools of robustness
Characteristics of robustness
Estimation of real parameter
Linear model
Multivariate model
Large sample and finite sample behavior of robust estimators
Robust and nonparametric procedures in measurement error models
Appendix A
Bibliography, Subject Index, Author Index