R Companion to Linear Statistical Models

£83.99

R Companion to Linear Statistical Models

Probability and statistics

Authors: Christopher Hay-Jahans, Chris Hay-Jahans

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Language: English

Published by: Chapman and Hall/CRC

Published on: 19th October 2011

Format: LCP-protected ePub

ISBN: 9781040052761


Purpose of the Work

This work was prepared to serve as an R supplement for textbooks on Linear Statistical Models. It provides computational and coding details on the use of R that textbooks do not.

Topics Covered

Topics covered include simple and multiple linear regression models, models for one- and two-factor fixed-effects designs, covariance models, and models for randomized complete block designs.

Intended Use

The text can serve as both a course supplement and a fairly detailed self-help resource. The development of grass-roots code alongside demonstrations of pre-packaged routines provides users with illustrations on how to develop their own programs with R.

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