Author: Andrew Gelman
Edition: 1
Binding: Kindle Edition
ISBN: B009019R3G
Publisher: Cambridge University Press
Edition: 1
Binding: Kindle Edition
ISBN: B009019R3G
Publisher: Cambridge University Press
Data Analysis Using Regression and Multilevel/Hierarchical Models
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. Data Analysis Using Regression and Multilevel/Hierarchical Models
Data Analysis Using Regression and Multilevel/Hierarchical 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 Download free Data Analysis Using Regression and Multilevel/Hierarchical Models from rapidshare, mediafire, 4shared
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 Search and find a lot of computer books in many category availabe for free download
Topics covered include causal inference, including regression, poststratification, matching, regression discontinuity, and instrumental variables, as well as multilevel logistic regression and missing-data
