Handbook of Computational Statistics : Concepts and Methods

by Gentle, James E.; Hardle, Wolfgang; Mori, Yuichi

• ISBN13: 9783540404644
• ISBN10: 3540404643
• Format: Hardcover
• Copyright: 2004-08-30
• Publisher: Springer Verlag

Summary

The Handbook of Computational Statistics - Concepts and Methods is 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 focuses 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.

Table of Contents

Computational Statistics What is Computational Statistics

Statistical Computing Basic Computational Algorithms

Random Number Generation

MCMC Technology

Numerical Linear Algebra

The EM Algorithm

Stochastic Optimization

Transforms

Parallel Computing Techniques

Data Base Methodology

Statistical Languages

High-Dimensional Visualization

Interactive Graphics

The Grammar of Graphics

User Interfaces

Object Oriented Computing

Statistical Methodology Cross Validation and Model Choice

Bootstrap and Resampling

Simulation Techniques

Multivariate Density Estimation and Visualization

Smoothing: Local Regression Techniques

Dimension Reduction Methods

Generalized Linear Models

(Non) linear Regression Modelling

Robustness Issues

Semiparametrics

Computational Methods in Bayesian Analysis

Data and Knowledge Mining

Tree Based Methods

Neural Networks (nn) Support Vector Machines

Statistical Learning Techniques

Computational Methods in Survival Analysis

Selected Applications Finance

Econometrics

Bioinformatics

Functional MRI

Network Intrusion Detection

Table of Contents provided by Publisher. All Rights Reserved.