Robust Statistical Methods with R, Second Edition

Jana Jure¿ková

ISBN 10: 1032092602 / ISBN 13: 9781032092607

Published by Chapman And Hall/CRC, 2021

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Seller Inventory # 9781032092607

Bibliographic Details

• Title: Robust Statistical Methods with R, Second Edition
• Publisher: Chapman And Hall/CRC
• Publication Date: 2021
• Language: English
• ISBN 10: 1032092602
• ISBN 13: 9781032092607
• Binding: Taschenbuch
• Edition: 2nd Edition
• Condition: Neu
• Dimensions: 234W x 156H x 15D millimeters 234 millimeters width by 156 millimeters height by 15 millimeters depth
• Weight: 415 grams

About this title

Synopsis

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

About the Author

Jana Jurečková is a Professor of Statistics at the Charles University, Prague.