| Mixed-Effects Models in S and S-Plus 2000. Corr. 3rd Edition Contributor(s): Pinheiro, José (Author), Bates, Douglas (Author) |
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ISBN: 0387989579 ISBN-13: 9780387989570 Publisher: Springer OUR PRICE: $237.49 Product Type: Hardcover - Other Formats Published: May 2000 Annotation: The balanced mix of real data examples, modeling software, and theory makes this book a useful reference for practitioners who use mixed-effects models. Researchers in statistical computing will also learn novel and efficient computational methods for fitting linear and non-linear mixed effects models. 172 illus. |
| Additional Information |
| BISAC Categories: - Computers | Mathematical & Statistical Software - Mathematics - Computers | Databases - General |
| Dewey: 519.5 |
| LCCN: 99053566 |
| Series: Statistics and Computing |
| Physical Information: 1.16" H x 6.36" W x 9.6" (2.04 lbs) 528 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |
