Editorial Reviews

From the reviews:

"I found this volume interesting and can recommend it to anyone with an interest in statistical computing; most of the chapters provide nice overviews of their topic areas, and they are interesting and largely well written." Journal of the American Statistical Association, December 2005

"This is a very fine book, and I am very happy to own a copy. … Each book comes with the owner’s special numerical code that allows the owner to access the e-book version. Each of the chapters has a huge reference list … ." (Technometrics, Vol. 47 (3), August, 2005)

"The articles in this handbook cover the important subareas of computational statistics and give some flavor of the wide range of applications. … should be included in the library of any organization involved in any way with computational statistics. The editors and their authors deserve to be commended … . Everyone concerned with computational statistics will want and need to consult this volume. … will be a considerable asset in the work of many a researcher and student of statistics. A definitive contribution that provokes applause … stimulating further studies." (Current Engineering Practice, Vol. 48, 2004/2005)

"The book contains 35 expository articles on various topics from the field of computational statistics written by experts in those fields. Each of the contributions describes … the basic ideas, fundamental concepts and current research topics in the relevant area, concluding with a long list of references for further reading. … The book is accompanied by an ebook version which can be downloaded onto a local computer. It enables to directly use links to internet sources all over the world." (Wolfgang zu Castell, Zentralblatt MATH, Vol. 1066, 2005)

"There are many extremely well-written chapters in this book; referencing is good, and even when topics are not covered in detail, there are references for further reading. Indexing is surprisingly good for a multi-author piece of work. I am therefore pleased to have a copy of this book." (Paul Hewson, Statistical Methods in Medical Research, Vol. 15, 2006)

"The >>Handbook of Computational Statistics<< … is a comprehensive account of a large variety of algorithms, methods, and concepts of computational statistics and their use in statistical methodology. … This book is definitely an obligatory reference for all applied statisticians who develop and implement statistical methods. ... Therefore it should be regarded as a welcome addition to the reference shelves of operational researchers, especially for those who concentrate on methodological issues." (Ulrich Küsters, OR Spectrum, Issue 26, 2006)

"The stated purpose of this book is to provide a survey of concepts and fundamentals of computational statistics. … The editors have done reasonably well in breadth of coverage. … It is a good idea to publish such a handbook. The subject has developed … most chapters contain good references and there are many excellent chapters with very clear expositions of both theory and practice. I am sure that I shall use it as a reference book … ." (Anders Brix, Journal of the Royal Statistical Society Series A: Statistics in Society, Vol. 168 (4), 2005)

"This book is intended to give an overview of the concepts and fundamentals of computational statistics. … The book provides the reader with background information as well as tools and suggestions for research and references for further reading. … To summarize, this book gives a unified framework to the somewhat fragmented area of computational statistics, with the separate chapters providing up-to-date discussions on important areas of the field. It is very useful handbook for all statisticians interested in applying computational statistics methods." (Andreas Karlsson, Computational Statistics, Vol. 22, 2007)

The Handbook of Computational Statistics - Concepts and Methods ist divided into 4 parts. It begins with an overview of the field of Computational Statistics, how it emerged as a seperate discipline, how it developed along the development of hard- and software, including a discussionof current active research.

The second part presents several topics in the supporting field of statistical computing. Emphasis is placed on the needfor fast and accurate numerical algorithms, and it discusses some of the basic methodologies for transformation, data base handling and graphics treatment.

The third part focusses on statistical methodology. Special attention is given to smoothing, iterative procedures, simulation and visualization of multivariate data.

Finally a set of selected applications like Bioinformatics, Medical Imaging, Finance and Network Intrusion Detection highlight the usefulness of computational statistics.