Please note: In order to keep Hive up to date and provide users with the best features, we are no longer able to fully support Internet Explorer. The site is still available to you, however some sections of the site may appear broken. We would encourage you to move to a more modern browser like Firefox, Edge or Chrome in order to experience the site fully.

Supporting your high street Find out how »
Elements of Statistical Computing : NUMERICAL COMPUTATION, Hardback Book

Elements of Statistical Computing : NUMERICAL COMPUTATION Hardback

Hardback

Out of stock

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.

Information

Other Formats

£175.00

Out of stock
Add to Basket
Sign in to add to wishlist
 
Free Home Delivery

on all orders

 
Pick up orders

from local bookshops

Information