Data Analysis Using Regression and Multilevel/Hierarchical Models - Brossura

Gelman, Andrew

 
9780521686891: Data Analysis Using Regression and Multilevel/Hierarchical Models

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This book, first published in 2007, is for the applied researcher performing data analysis using linear and nonlinear regression and multilevel models.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sugli autori

Andrew Gelman is Professor of Statistics and Professor of Political Science at Columbia University. He has published over 150 articles in statistical theory, methods, and computation, and in applications areas including decision analysis, survey sampling, political science, public health, and policy. His other books are Bayesian Data Analysis (1995, second edition 2003) and Teaching Statistics: A Bag of Tricks (2002).

Jennifer Hill is Assistant Professor of Public Affairs in the Department of International and Public Affairs at Columbia University. She has co-authored articles that have appeared in the Journal of the American Statistical Association, American Political Science Review, American Journal of Public Health, Developmental Psychology, the Economic Journal and the Journal of Policy Analysis and Management, among others.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Altre edizioni note dello stesso titolo

9780521867061: Data Analysis Using Regression And Multilevel/Hierarchical Models

Edizione in evidenza

ISBN 10:  0521867061 ISBN 13:  9780521867061
Casa editrice: Cambridge Univ Pr, 2006
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