Written by Nick Galwey, 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. The 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 natureFor more details about the book please visit http://www.wiley.com/go/mixed-modelling/.
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