Mixed-Effects Models in S and S-PLUS

Author:   José Pinheiro ,  Douglas Bates
Publisher:   Springer-Verlag New York Inc.
Edition:   1st ed. 2000. Corr. 3rd printing 2002
ISBN:  

9780387989570


Pages:   528
Publication Date:   05 May 2000
Format:   Hardback
Availability:   Awaiting stock   Availability explained
The supplier is currently out of stock of this item. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out for you.

Our Price $274.56 Quantity:  
Add to Cart

Share |

Mixed-Effects Models in S and S-PLUS


Add your own review!

Overview

This book provides an overview of the theory and application of linearand nonlinear mixed-effects models in the analysis of grouped data,such as longitudinal data, repeated measures, and multilevel data. Aunified model-building strategy for both linear and nonlinear modelsis presented and applied to the analysis of over 20 real datasets froma wide variety of areas, including pharmacokinetics, agriculture, andmanufacturing. A strong emphasis is placed on the use of graphicaldisplays at the various phases of the model-building process, startingwith exploratory plots of the data and concluding with diagnosticplots to assess the adequacy of a fitted model. Over 170 figures areincluded in the book.The NLME library for analyzing mixed-effects models in S andS-PLUS, developed by the authors, provides the underlyingsoftware for implementing the methods presented in the text, beingdescribed and illustrated in detail throughout the book.The balanced mix of real data examples, modeling software, and theorymakes this book a useful reference for practitioners using mixed-effects models in their data analyses. It can also be used as a text for a one-semester graduate-level applied course in mixed-effects models. Researchers in statistical computing will also find this book appealing for its presentation of novel andefficient computational methods for fitting linear and nonlinearmixed-effects models.Jose C. Pinheiro has been a member of the technical staff instatistics research at Bell Laboratories since 1996. He received hisPh.D. in Statistics from and worked for two years in the Department of Biostatistics at the University of Wisconsin-Madison. The author of several articles in mixed-effects models, he is a member of the American Statistical Association and the Biometric Society. Douglas M. Bates is Professor of Statistics at the University of Wisconsin-Madison. He is the author, with Donald G. Watts, of Nonlinear Regression Analysis and Its Applications, aFellow of the American Statistical Association, and a former chair ofits Statistical Computing Section.

Full Product Details

Author:   José Pinheiro ,  Douglas Bates
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   1st ed. 2000. Corr. 3rd printing 2002
Dimensions:   Width: 15.50cm , Height: 3.00cm , Length: 23.50cm
Weight:   0.980kg
ISBN:  

9780387989570


ISBN 10:   0387989579
Pages:   528
Publication Date:   05 May 2000
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Awaiting stock   Availability explained
The supplier is currently out of stock of this item. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out for you.

Table of Contents

Linear Mixed-Effects Models.- Linear Mixed-Effects Models: Basic Concepts and Examples.- Theory and Computational Methods for Linear Mixed-Effects Models.- Describing the Structure of Grouped Data.- Fitting Linear Mixed-Effects Models.- Extending the Basic Linear Mixed-Effects Model.- Nonlinear Mixed-Effects Models.- Nonlinear Mixed-effects Models: Basic Concepts and Motivating Examples.- Theory and Computational Methods for Nonlinear Mixed-Effects Models.- Fitting Nonlinear Mixed-Effects Models.

Reviews

Over 170 figures are included in the book. ... the material covered in the book is self-contained ... . The balanced mix of real data examples, modeling software, and theory makes this 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 in mixed-effects models. (E.M.Psyadlo, zbMATH 0953.62065, 2022)


Author Information

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions
Latest Reading Guide

MRG2025CC

 

Shopping Cart
Your cart is empty
Shopping cart
Mailing List