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Handbook of computational statistics : concepts and methods

Author: James E Gentle
Publisher: Berlin : Springer, 2004.
Series: Springer handbooks of computational statistics.
Edition/Format:   Print book : EnglishView all editions and formats
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Beginning with an overview over the field of Computational Statistics, this title presents several topics in the supporting field of statistical computing. It emphasises on the need of fast and  Read more...

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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: James E Gentle
ISBN: 3540404643 9783540404644
OCLC Number: 249554562
Description: XII, 1070 Seiten : Illustrationen, Diagramme ; 24 cm.
Contents: Part I Computational Statistics What is Computational Statistics (James E. Gentle, Wolfgang Hardle, Yuichi Mori) Part II Statistical Computing Basic Computational Algorithms (John Monaham) Random Number Generation (Pierre L'Ecuyer) MCMC Technology (Siddartha Chib) Numerical Linear Algebra (Lenka Cizkova) The EM Algorithm (Geoffrey McLachlan) Stochastic Optimization (James C. Spall) Transforms (Brani Vidakovic) Parallel Computing Techniques (Junji Nakano) Data Base Methodology (Oliver Gunther, Joachim Lenz) Statistical Languages (Tomoyuki Tarumi) High-Dimensional Visualization (Edward Wegman) Interactive Graphics (Jurgen Symanzik) The Grammar of Graphics (Leland Wilkinson) User Interfaces (Sigbert Klinke) Object Oriented Computing (Miroslav Virius) Part III Statistical Methodology Cross Validation and Model Choice (Yuedong Wang) Bootstrap and Resampling (Enno Mammen) Simulation Techniques (Jack Kleijnen) Multivariate Density Estimation and Visualization (David Scott) Smoothing: Local Regression Techniques (Catherine Loader) Dimension Reduction Methods (Masahiro Mizuta) Generalized Linear Models (Marlene Muller) (Non) linear Regression Modelling (Pavel Cizek) Robustness Issues (P. Laurie Davies, Ursula Gather) Semiparametrics (Joel Horowitz) Computational Methods in Bayesian Analysis (Christian Robert) Data and Knowledge Mining (Adalbert X. Wilhelm) Tree Based Methods (Heping Zhang) Neural Networks (nn) Support Vector Machines (Klaus-Robert Muller) Statistical Learning Techniques (Peter Buhlmann) Computational Methods in Survival Analysis ( Toshinari Kamakura) Part IV Selected Applications Finance (Rafal Weron) Econometrics (Luc Bauwens) Bioinformatics (Iosif Vaisman) Functional MRI (William F. Eddy) Network Intrusion Detection (David Marchette)
Series Title: Springer handbooks of computational statistics.
Responsibility: James E. Gentle ... eds.
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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 Read more...

 
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