Robust Statistical Methods with R, Second Edition
Jana JureÄkovĂĄ, Jan Picek, Martin Schindler
- 254 pages
- English
- ePUB (adapté aux mobiles)
- Disponible sur iOS et Android
Robust Statistical Methods with R, Second Edition
Jana JureÄkovĂĄ, Jan Picek, Martin Schindler
Ă propos de ce livre
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
âą Provides a systematic, practical treatment of robust statistical methods
âą 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
âą The extended account of multivariate models includes the admissibility, shrinkage effects and unbiasedness of two-sample tests
âą Illustrates the small sensitivity of the rank procedures in the measurement error model
âą 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