additive, time series, and spatial models using random effects Hodges, James S. creator author. text bibliography Electronic books. flu 2014 2014 monographic eng application/PDF 1 online resource : text file, PDF "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"-- 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. James S. Hodges. Includes bibliographical references and index. Also available in print format. Regression analysis Textbooks Linear models (Statistics) Textbooks 9781439866849 (ebook : PDF) http://marc.crcnetbase.com/isbn/9781439866849 http://marc.crcnetbase.com/isbn/9781439866849 BD-DhSAU 131227 20151012144302.0 CAH0KE13206PDF eng