Computational Statistics: Papers Collected on the Occasion of the 25th Conference on Statistical Computing at Schloß Reisensburg

. Ed(s): Dirschedl, Peter; Ostermann, Rudiger

ISBN 10: 379080813X / ISBN 13: 9783790808131

Published by Physica, 1994

About this Item

A collection of 30 invited papers, covering the important parts of the rapidly developing area of computational statistics. The contributions supply information about specialized topics in a tutorial and comprehensive style. The newest results and developments are discussed. Editor(s): Dirschedl, Peter; Ostermann, Rudiger. Series: Contributions to Statistics. Num Pages: 553 pages, black & white illustrations. BIC Classification: PHS; UFM; UY. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 29. Weight in Grams: 854. . 1994. Softcover reprint of the original 1st ed. 1994. paperback. . . . . Books ship from the US and Ireland.

Seller Inventory # V9783790808131

Bibliographic Details

• Title: Computational Statistics: Papers Collected on the Occasion of the 25th Conference on Statistical Computing at Schloß Reisensburg
• Publisher: Physica
• Publication Date: 1994
• Language: English
• ISBN 10: 379080813X
• ISBN 13: 9783790808131
• Binding: Soft cover
• Condition: New

About this title

Synopsis

This book is a collection of thirty invited papers, covering the important parts of a rapidly developing area like "computational statistics". All contributions supply information about a specialized topic in a tutorial and comprehensive style. Newest results and developments are discussed. Starting with the foundations of computational statistics, i.e. numerical reliability of software packages or construction principles for pseudorandom number generators, the volume includes design considerations on statistical programming languages and the basic issues of resampling techniques. Also covered are areas like design of experiments, graphical techniques, modelling and testing problems, a review of clustering algorithms, and concise discussions of regression trees or cognitive aspects of authoring systems.