Evolutionary Statistical Procedures: An Evolutionary Computation Approach to Statistical Procedures Designs and Applications (Statistics and Computing) - Tapa blanda

Críticas

From the book reviews:

“After the introductory Chapter 1, in Chapter 2, a detailed review of evolutionary computation is presented. Chapters 3–7 then discuss applications in regression, time series, design of experiments, outlier detection, and cluster analysis. Evolutionary techniques have been successfully used to solve optimization problems in several challenging applications, consequently this book may be useful to many applied statisticians.” (Snigdhansu Chatterjee, Technometrics, Vol. 54 (4), November, 2012)

“The monograph under review is ... to provide a sort of guide through the world of evolutionary computation for optimization problems in statistics and related implementation issues in a variety of applications. It represents a comprehensive reference work for advanced graduate students and researchers working in the rich field at the intersection between statistics, evolutionary computation, and computer science. ... It is self-contained, each chapter is nicely introduced by a summary of the main contents and a comprehensive list of references is provided.” (Marcello Sanguineti, Mathematical Reviews, Issue 2012 d)

Reseña del editor

This book offers a solid introduction to evolutionary computation for use in applied statistics research. It guides readers through the crucial issues of optimization problems in statistical settings and the implementation of tailored methods.