A new edition of this popular text on robust statistics, thoroughly updated to include new and improved methods and focus on implementation of methodology using

Robust statistical methods were developed to supplement the classical procedures when the data violate classical assumptions. They are ideally suited to applied

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 com

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 com

Offering an alternative to traditional statistical procedures which are based on least squares fitting, the authors cover such topics as one and two sample loca