Data Analysis Using Regression and Multilevel/Hierarchical Models - Rilegato

Gelman, Andrew; Hill, Jennifer

Rilegato

ISBN 10: 0521867061 ISBN 13: 9780521867061

Casa editrice: Cambridge University Press, 2006

Riassunto

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. It introduces and demonstrates a variety of models and instructs the reader in how to fit these models using freely available software packages.

Su questo libro

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.

Dettagli dell?edizione

• Editore: Cambridge University Press
• Data di pubblicazione: 2006
• ISBN 10: 0521867061
• ISBN 13: 9780521867061
• Rilegatura: Copertina rigida
• Lingua: Inglese
• Numero edizione: 1
• Numero di pagine: 648
• Contatto del produttore: non disponibile