Related Category: Social research & statistics, Vector & tensor analysis

Data Analysis Using Regression and Multilevel / Hierarchical (Hardcover)
 
作者: Andrew Gelman 
出版社: Cambridge University Press
出版日期: 2006/12/25
尺寸: 263x182x50mm
重量: 1283 grams
ISBN-10: 0521867061
ISBN-13: 9780521867061
書城編號: 388581
 

原價: HK$1232.00
現售: HK$1170.4 節省: HK$61.6

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內容簡介
 
Data Analysis Using Regression and Multilevel/Hierarchical Models 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. Author resource page: http:

//www.stat.columbia.edu/ gelman/arm/

Andrew Gelman 作者作品表

Bayesian Data Analysis (Hardcover)
Quantitative Tour of the Social Sciences (Paperback)
Data Analysis Using Regression and Multilevel / Hierarchical (Hardcover)
Bayesian Data Analysis (Paperback)
Bayesian Data Analysis, Second Edition (Hardcover)

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