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Robust statistical methods with R /

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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 cont...

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Bibliographic Details
Main Authors: Jurečková, Jana, 1940- (Author), Picek, Jan, 1965- (Author), Schindler, Martin (Mathematician) (Author)
Corporate Author: Taylor & Francis
Format: eBook
Language:English
Published: Boca Raton, Florida : CRC Press, Taylor & Francis Group, CRC Press is an imprint of Taylor & Francis Group, an Informa business, [2019]
Edition:Second edition.
Subjects:
Robust statistics.
Mathematical statistics.
R (Computer program language)
Statistiques robustes.
R (Langage de programmation)
MATHEMATICS / Applied.
MATHEMATICS / Probability & Statistics / General.
Mathematical statistics
Robust statistics
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • 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.