Handbook of Computational Statistics: Concepts and Methods

This handbook cover the important subareas of computational statistics and give some flavor of the wide range of applications. It 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. It 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.

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 discussion of current active research.

The second part presents several topics in the supporting field of statistical computing. Emphasis is placed on the need for 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.