Robust Statistical Methods with R, Second Edition

Jana Jurečková author Martin Schindler author Jan Picek author

Format:Paperback

Publisher:Taylor & Francis Ltd

Published:30th Jun '21

Currently unavailable, and unfortunately no date known when it will be back

This paperback is available in another edition too:

Robust Statistical Methods with R, Second Edition cover

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

ISBN: 9781032092607

Dimensions: unknown

Weight: 390g

268 pages

2nd edition