Richly parameterized linear models : additive, time series, and spatial models using random effects / James S. Hodges.

By: Hodges, James S [author.]Material type: Text

TextSeries: Texts in statistical sciencePublisher: Boca Raton : Chapman and Hall/CRC, [2014]Copyright date: �2014Description: 1 online resource : text file, PDFContent type: text Media type: computer Carrier type: online resourceISBN: 9781439866849 (ebook : PDF)Subject(s): Regression analysis -- Textbooks | Linear models (Statistics) -- TextbooksGenre/Form: Electronic books.Additional physical formats: Print version:: No titleOnline resources: Click here to access online Also available in print format.

Contents:

1. Mixed linear models : syntax, theory, and methods -- 2. Richly parameterized models as mixed linear models -- 3. From linear models to richly parameterized models : mean structure -- 4. Beyond linear models : variance structure.

Summary: "This book covers a wide range of statistical models, including hierarchical, hierarchical generalized linear, linear mixed, dynamic linear, smoothing, spatial, and longitudinal. It presents a framework for expressing these richly parameterized models together as well as tools for exploring and interpreting the results of fitting the models to data. It extends the standard theory of linear models and illustrates the advantages and disadvantages of various theories. The book also examines surprising or undesirable results arising in the use of the models to analyze real data sets from collaborative research"-- Provided by publisher.

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Includes bibliographical references and index.

"This book covers a wide range of statistical models, including hierarchical, hierarchical generalized linear, linear mixed, dynamic linear, smoothing, spatial, and longitudinal. It presents a framework for expressing these richly parameterized models together as well as tools for exploring and interpreting the results of fitting the models to data. It extends the standard theory of linear models and illustrates the advantages and disadvantages of various theories. The book also examines surprising or undesirable results arising in the use of the models to analyze real data sets from collaborative research"-- Provided by publisher.

Also available in print format.

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