Robust Statistical Methods with R, Second Edition

Looking for a comprehensive guide on robust statistical methods? Look no further! Introducing the second edition of "Robust Statistical Methods with R." This updated edition takes a systematic approach to robust procedures, incorporating the latest developments and highlighting the computational aspects. With numerous numerical examples and notes on the R environment, this book is a must-have for researchers and postgraduate students in statistics and mathematics.

One of the standout features of this book is its rigorous treatment of a wide range of robust methods. From sequential versions of estimators to moment convergence, you'll gain a deep understanding of these methods and their asymptotic and finite-sample behavior. The updated chapter on multivariate models also explores admissibility, shrinkage effects, and unbiasedness of two-sample tests, giving you a well-rounded perspective on robust statistical techniques.

Notably, this edition also delves into robust procedures in measurement error models. By focusing on rank procedures, which are less sensitive to errors than other methods, the authors demonstrate their small sensitivity in the measurement error model. You'll gain a practical understanding of these procedures and their implications for measurement error analysis.

In addition to its comprehensive coverage, "Robust Statistical Methods with R" places a strong emphasis on the computational aspects. The book provides numerous examples and illustrations to aid your understanding and offers the authors' own procedures in the R software on the book's website. This practical approach ensures that you can immediately apply what you learn and make the most of robust statistical methods in your research or professional work.

Don't miss out on this invaluable resource! Enhance your statistical skills and stay up to date with the latest developments in robust procedures. Take a step towards statistical excellence with "Robust Statistical Methods with R, Second Edition." Order your copy today and empower your statistical analyses. Click here to buy now.