2nd Edition
Robust Statistical Methods with R, Second Edition
268 Pages
28 B/W Illustrations
by
Chapman & Hall
268 Pages
28 B/W Illustrations
by
Chapman & Hall
268 Pages
28 B/W Illustrations
by
Chapman & Hall
Also available as eBook on:
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... Read more
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
Biography
Jana Jurečková is a Professor of Statistics at the Charles University, Prague.
