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Introduction to mixed modelling : beyond regression and analysis of variance

Author: Nick Galwey
Publisher: Chichester, West Sussex : Wiley, 2014.
Edition/Format:   Print book : English : Second editionView all editions and formats
Summary:

Mixed modelling is very useful, and easier than you think! Mixed modelling is now well established as a powerful approach to statistical data analysis.

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Additional Physical Format: Online version:
Galwey, Nick.
Introduction to mixed modelling.
Chichester, West Sussex : John Wiley & Sons, Inc., 2014
(DLC) 2014022010
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Nick Galwey
ISBN: 9781119945499 1119945496
OCLC Number: 880960179
Description: xiii, 487 pages : illustrations ; 26 cm
Contents: 1. The need for more than one random-effect term when fitting a regression line --
2. The need for more than one random-effect term in a designed experiment --
3. Estimation of the variances of random-effect terms --
4. Interval estimates for fixed-effect terms in mixed models --
5. Estimation of random effects in mixed models : best linear unbiased predictors (BLUPS) --
6. More advanced mixed models for more elaborate data sets --
7. Three case studies --
8. Meta-analysis and the multiple testing problem --
9. The use of mixed models for the analysis of unbalanced experimental designs --
10. Beyond mixed modelling --
10. Why is the criterion for fitting mixed models called Residual Maximum Likelihood?
Responsibility: N.W. Galwey.

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