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Data Analysis Using Regression and Multilevel/Hierarchical Models
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Varebeskrivelse
Stand: Som ny - ingen synlige brugsspor
Emne: Andre studiebøger
Cambridge Data Analysis Using Regression and Multilevel/Hierarchical Models bog inden for emnet Andre studiebøger. Bogen omhandler statistiske metoder som regression og multilevel/hierarkiske modeller til dataanalyse.
Data Analysis Using Regression and Multilevel/Hierarchical Models
Af Jennifer Hill og Andrew Gelman
Detaljer
Sprog Engelsk
Sidetal 648
Udgivelsesdato 18-12-2006
ISBN 13 9780521686891
Forlag Cambridge University Press
Format Paperback
Beskrivelse
Data Analysis Using Regression and Multilevel/Hierarchical Models, first published in 2007, is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. The book introduces a wide variety of models, whilst at the same time instructing the reader in how to fit these models using available software packages. The book illustrates the concepts by working through scores of real data examples that have arisen from the authors' own applied research, with programming codes provided for each one. Topics covered include causal inference, including regression, poststratification, matching, regression discontinuity, and instrumental variables, as well as multilevel logistic regression and missing-data imputation. Practical tips regarding building, fitting, and understanding are provided throughout.
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