02319nam a2200385Ii 4500 CAH0KE13206PDF BD-DhSAU 20151012144302.0 m|||||o||d|||||||| cr|||| 131227t20142014flua ob 001 0 eng d 9781439866849 (ebook : PDF) BD-DhSAU eng BD-DhSAU rda QA278.2 .H635 2013 519.536 H688 Hodges, James S., author. Richly parameterized linear models : additive, time series, and spatial models using random effects / James S. Hodges. Boca Raton : Chapman and Hall/CRC, [2014] �2014 1 online resource : text file, PDF text rdacontent computer rdamedia online resource rdacarrier Chapman & Hall/CRC texts in statistical science series Includes bibliographical references and index. 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. "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. Regression analysis Textbooks. Linear models (Statistics) Textbooks. Electronic books. lcsh Print version: 9781439866832 (hardback) Texts in statistical science. http://marc.crcnetbase.com/isbn/9781439866849 application/PDF 11392 11391