ENGLISH

Richly Parameterized Linear Models: Additive, Time Series, and Spatial Models Using Random Effects

By James S Hodges

Book information

Publisher
CRC Press
Year
2013
ISBN
978-1-4398-6683-2, 143986683X, 978-1-4398-6684-9
DOI
10.1201/b16019
Language
english
Format
PDF
Filesize
15 MB (16101695 bytes)
Series
Chapman & Hall/CRC Texts in Statistical Science
Pages
xxxviiii, 431 pages : illustrations\464
Time added
2014-08-04 10:00:00
Математика;Теория вероятностей и математическая ст

Description

''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''-- Read more...

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