Elements of Statistical Computing: NUMERICAL COMPUTATION - Image 1

Price loading...

Chapman and Hall/CRC Elements of Statistical Computing: NUMERICAL COMPUTATION

Name: Elements of Statistical Computing: NUMERICAL COMPUTATION
Brand: Chapman and Hall/CRC

Computer Science

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

Statistics and computing share many close relationships. Computing now permeates every aspect of statistics, from pure description to the development of statistical theory. At the same time, the computational methods used in statistical work span much of computer science. Elements of Statistical Computing covers the broad usage of computing in statistics. It provides a comprehensive account of the most important computational statistics. Included are discussions of numerical analysis, numerical integration, and smoothing. The author give special attention to floating point standards and numerical analysis; iterative methods for both linear and nonlinear equation, such as Gauss-Seidel method and successive over-relaxation; and computational methods for missing data, such as the EM algorithm. Also covered are new areas of interest, such as the Kalman filter, projection-pursuit methods, density estimation, and other computer-intensive techniques.

Product Specifications

Brand: Chapman and Hall/CRC
Format: hardcover
ASIN: 0412013711
Category: Books > Subjects > Computing & Internet > Computer Science
Domain: Amazon UK
Release Date: 01 March 1988
Listed Since: 08 February 2007

Barcode

No barcode data available

Chapman and Hall/CRC Elements of Statistical Computing: NUMERICAL COMPUTATION

Price History & Forecast

No Price Data Available

Price Distribution

Description

Product Specifications

Barcode

Similar Products You Might Like

Computational Statistics (Statistics and Computing)

Computational Statistics (Statistics and Computing)

A Computational Approach to Statistical Learning (Chapman & Hall/CRC Texts in Statistical Science)

Elements of Parallel Computing (Chapman & Hall/CRC Computational Science)

Applied Stochastic Modelling (Chapman & Hall/CRC Texts in Statistical Science)

Applied Stochastic Modelling (Chapman & Hall/CRC Texts in Statistical Science)

Foundations of Statistical Algorithms: With References to R Packages (Chapman & Hall/CRC Computer Science & Data Analysis)

Biostatistics: A Computing Approach (Chapman & Hall/CRC Biostatistics Series)

Numerical Issues in Statistical Computing for the Social Scientist: 431 (Wiley Series in Probability and Statistics)

Introduction to Elementary Computational Modeling: Essential Concepts, Principles, and Problem Solving (Chapman & Hall/CRC Computational Science)

Statistical Modeling and Computation

CRC Press Cloud Computing: Data-Intensive Computing and Scheduling

CRC Press Computational Methods in Biomedical Research Book

Computational and Methodological Statistics and Biostatistics: Contemporary Essays in Advancement (Emerging Topics in Statistics and Biostatistics)

Mean Field Simulation for Monte Carlo Integration (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Introduction to High-Dimensional Statistics (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Numerical Methods of Statistics (Cambridge Series in Statistical and Probabilistic Mathematics)

A Gentle Introduction to Scientific Computing (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series)

Statistical Computing in C++ and R (Chapman & Hall/CRC The R Series)

Essentials of Scientific Computing: Numerical Methods for Science and Engineering

Stochastic Modeling and Mathematical Statistics: A Text for Statisticians and Quantitative Scientists (Chapman & Hall/CRC Texts in Statistical Science)

Nonparametric Statistical Methods For Complete and Censored Data

CRC Press Probability and Statistical Inference Textbook

Mean Field Simulation for Monte Carlo Integration (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)