Introduction to Mixed Modelling : Beyond Regression and Analysis of Variance.

This book first introduces the criterion of REstricted Maximum Likelihood (REML) for the fitting of a mixed model to data before illustrating how to apply mixed model analysis to a wide range of situations, how to estimate the variance due to each random-effect term in the model, and how to obtain a...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Galwey, Nick
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken : Wiley, 2014.
Edición:2nd ed.
Temas:
Multilevel models (Statistics)
Experimental design.
Regression analysis.
Analysis of variance.
Modèles multiniveaux (Statistique)
Plan d'expérience.
Analyse de régression.
Analyse de variance.
Analysis of variance
Experimental design
Regression analysis
Gemischtes Modell
Varianzanalyse
Regressionsanalyse
regressieanalyse
regression analysis
analysis of variance
modelleren
modeling
Analysis of Variance
Mathematical Models, Simulation Models
Variantie-analyse
Wiskundige modellen, simulatiemodellen
Electronic books.
Acceso en línea:Texto completo
Descripción
Sumario:This book first introduces the criterion of REstricted Maximum Likelihood (REML) for the fitting of a mixed model to data before illustrating how to apply mixed model analysis to a wide range of situations, how to estimate the variance due to each random-effect term in the model, and how to obtain and interpret Best Linear Unbiased Predictors (BLUPs) estimates of individual effects that take account of their random nature. It is intended to be an introductory guide to a relatively advanced specialised topic, and to convince the reader that mixed modelling is neither so specia.
Descripción Física:1 online resource (504 pages)
Bibliografía:Includes bibliographical references at the end of each chapters and index.
ISBN:9781118861769
1118861760

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