Robust Statistical Methods with R, Second Edition: 2nd Edition (Hardback) book cover

Robust Statistical Methods with R, Second Edition

2nd Edition

By Jana Jurečková, Jan Picek, Martin Schindler

Chapman and Hall/CRC

272 pages | 28 B/W Illus.

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Hardback: 9781138035362
pub: 2019-05-27
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Robust statistical methods are particularly useful for obtaining good results from non-normally distributed data with outliers. This book is the second edition of a book focussed on applying robust statistical methods using R. It is a substantial update, with new chapters on multivariate models, large sample versus finite sample behavior, and measurement error models. The most significant update is that the computing component has been greatly improved with R code and examples now integrated throughout the book. The book is supplemented by a website with all code and data available.

Table of Contents


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

About the Authors

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

Subject Categories

BISAC Subject Codes/Headings:
MATHEMATICS / Probability & Statistics / General
MATHEMATICS / Probability & Statistics / Bayesian Analysis