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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Bibliographische Detailangaben
1. Verfasser: Galwey, Nick (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Hoboken, NJ [u.a.] Wiley 2007
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Online-Zugang:UBM01
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Zusammenfassung: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
Beschreibung:Erscheinungsjahr der Druckausgabe: 2006
Includes bibliographical references (p. [357]-360) and index
Beschreibung:1 Online-Ressource (X, 366 S.) graph. Darst.
ISBN:9780470035986

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