Handbook of Computational Statistics - Paperback

Book in our database since 2017-04-04T12:30:19+01:00 (London)
Detail page last modified on 2024-02-24T20:43:42+00:00 (London)
ISBN/EAN: 9783662517659

ISBN - alternate spelling:
3-662-51765-5, 978-3-662-51765-9
Alternate spelling and related search-keywords:
Book author: james wolf, gent, mori, gentle, yuichi, karl james
Book title: computational statistics

Information from Publisher

Author: James E. Gentle; Wolfgang Karl Härdle; Yuichi Mori
Title: Springer Handbooks of Computational Statistics; Handbook of Computational Statistics - Concepts and Methods
Publisher: Springer; Springer Berlin
1192 Pages
Publishing year: 2017-05-04
Berlin; Heidelberg; DE
Printed / Made in
Weight: 1,828 kg
Language: English
299,59 € (DE)
307,99 € (AT)
330,50 CHF (CH)
POD
XII, 1192 p. 297 illus., 96 illus. in color. In 2 volumes, not available separately.

SA; BC; Previously published in hardcover; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Bioinformatics; Computational Statistics; EM algorithm; Functional MRI; MCMC; Network Intrusion Detection; Randon Number Generation; Support Vector Machines; B; Statistics and Computing/Statistics Programs; Statistics, general; Statistical Theory and Methods; Statistics and Computing; Statistics; Statistical Theory and Methods; Mathematics and Statistics; Mathematische und statistische Software; BB

is a Professor of Computational Statistics at George Mason University.  His research interests include Monte Carlo methods and computational finance.  He is an elected member of the ISI and a Fellow of the American Statistical Association.

is a Professor of Statistics at the Humboldt-Universität zu Berlin and the Director of CASE – the Centre for Applied Statistics and Economics. He teaches quantitative finance and semi-parametric statistical methods. His research focuses on dynamic factor models, multivariate statistics in finance and computational statistics. He is an elected member of the ISI and an advisor to the Guanghua School of Management, Peking University and to National Central University, Taiwan.

is a Professor of Statistics and Informatics at Okayama University of Science. His research interests include efficient computing in multivariate methods, dimension reduction and variable selection, and statistics education. He is an elected member of the ISI and served as a council member of the IASC from 2003 to 2007.

This new edition is divided into 4 parts in the same way as the first edition. It begins with "How Computational Statistics became the backbone of modern data science" (Ch.1): an overview of the field of Computational Statistics, how it emerged as a separate discipline, and how its own development mirrored that of hardware and software, including a discussion of current active research.

The second part (Chs. 2 - 15) presents several topics in the supporting field of statistical computing. Emphasis is placed on the need for fast and accurate numerical algorithms, and some of the basic methodologies for transformation, database handling, high-dimensional data and graphics treatment are discussed.

The third part (Chs. 16 - 33) focuses on statistical methodology. Special attention is given to smoothing, iterative procedures, simulation and visualization of multivariate data.

Lastly, a set of selected applications (Chs. 34 - 38) like Bioinformatics, Medical Imaging, Finance, Econometrics and Network Intrusion Detection highlight the usefulness of computational statistics in real-world applications.

Up-to-date coverage of the topic

First-rate authors contribute to the volume

The editors have been involved in this research area from the beginning and have all given substantial imput to its development

Includes supplementary material: sn.pub/extras