Introduction to mixed modelling: beyond regression and analysis of variance

Mixed modelling is one of the most promising and exciting areas of statistical analysis, enabling more powerful interpretation of data through the recognition of random effects. However, many perceive mixed modelling as an intimidating and specialized technique. This book introduces mixed modelling...

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Bibliographic Details
Main Author: Galwey, Nick (Author)
Format: Electronic eBook
Language:English
Published: Hoboken, NJ [u.a.] Wiley 2007
Subjects:
Online Access:UBM01
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Summary:Mixed modelling is one of the most promising and exciting areas of statistical analysis, enabling more powerful interpretation of data through the recognition of random effects. However, many perceive mixed modelling as an intimidating and specialized technique. This book introduces mixed modelling analysis in a simple and straightforward way, allowing the reader to apply the technique confidently in a wide range of situations. Introduction to Mixed Modelling shows that mixed modelling is a natural extension of the more familiar statistical methods of regression analysis and analysis of varian
Item Description:Erscheinungsjahr der Druckausgabe: 2006
Includes bibliographical references (p. [357]-360) and index
Physical Description:1 Online-Ressource (X, 366 S.) graph. Darst.
ISBN:9780470035986

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