MOMENTAN AUSVERKAUFT
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Product Identifiers
PublisherSpringer
ISBN-101441903178
ISBN-139781441903174
eBay Product ID (ePID)73882424
Product Key Features
Number of PagesXviii, 530 Pages
LanguageEnglish
Publication NameMixed-Effects Models in Sand S-Plus
Publication Year2009
SubjectProgramming Languages / General, Probability & Statistics / General
TypeTextbook
Subject AreaMathematics, Computers
AuthorDouglas M. Bates, José Pinheiro
SeriesStatistics and Computing Ser.
FormatTrade Paperback
Dimensions
Item Weight59.3 Oz
Item Length9.3 in
Item Width6.1 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN99-053566
Dewey Edition22
Number of Volumes1 vol.
IllustratedYes
Dewey Decimal005.133
SynopsisAn 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., This book provides 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. Over 170 figures are included in the book., Mixed-e'ects models provide a ?exibleand powerful toolfor theanalysis of grouped data, which arise in many areas as diverse as agriculture, biology, economics, manufacturing, and geophysics. Examples of grouped data - clude longitudinal data, repeatedmeasures, blocked designs, and multilevel data. The increasing popularity of mixed-e'ects models is explained by the ?exibility they o'er in modeling the within-group correlation often present in grouped data, by the handling of balanced and unbalanced data in a uni'ed framework, and by the availability of reliable and e'cient software for ?tting them. This book provides an overview of the theory and application of l- ear and nonlinear mixed-e'ects models in the analysis of grouped data. A uni'ed model-building strategy for both linear and nonlinear models is presentedandappliedtotheanalysisofover20realdatasetsfromawide- riety of areas, including pharmacokinetics, agriculture, and manufacturing. A strong 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 withdiagnostic plots toassess the adequacy of a ?tted model. Over 170 ?gures are included in the book.
LC Classification NumberQA276-280
