Abstrakt
The second edition of Robust Statistical Methods with R provides a systematic treatment of robust procedures with an emphasis on new developments and on computational aspects. There are many numerical examples and notes on R environment, and an updated chapter on the multivariate model in R.
A new chapter on robust procedures in measurement error models concentrates on rank procedures, less sensitive to errors than other procedures. The book will be an invaluable resource for researchers and postgraduate students in statistics and mathematics.