Mixed-Effects Models in S and S-PLUS (Statistics and Computing) - Softcover

Pinheiro, José; Bates, Douglas

Softcover

ISBN 10: 147578144X ISBN 13: 9781475781441

Publisher: Springer, 2013

Synopsis

An overview of the theory and application of linear and nonlinear mixed-effects models in the analysis of grouped data, such as longitudinal data, repeated measures, and multilevel data. The authors present a unified model-building strategy for both models and apply this to the analysis of over 20 real datasets from a wide variety of areas, including pharmacokinetics, agriculture, and manufacturing. Much emphasis is placed on the use of graphical displays at the various phases of the model-building process, starting with exploratory plots of the data and concluding with diagnostic plots to assess the adequacy of a fitted model. The NLME library for analyzing mixed-effects models in S and S-PLUS, developed by the authors, provides the underlying software for implementing the methods presented. This balanced mix of real data examples, modeling software, and theory makes the book a useful reference for practitioners who use, or intend to use, mixed-effects models in their data analyses. It can also be used as a text for a one-semester graduate-level applied course.

About this title

About the Author:

Douglas M. Bates, PhD, is Professor of Statistics at the University of Wisconsin-Madison. Donald G. Watts, PhD, is Professor Emeritus in Statistics at Queens University in Ontario, Canada.

From the Back Cover:

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About this edition

• Publisher: Springer
• Publication date: 2013
• ISBN 10: 147578144X
• ISBN 13: 9781475781441
• Binding: Paperback
• Number of pages: 544