Data Analysis Using Regression and Multilevel/Hierarchical Models Hardback (Analytical Methods for Social Research) - Tapa dura

Gelman; Hill

9780521867061: Data Analysis Using Regression and Multilevel/Hierarchical Models Hardback (Analytical Methods for Social Research)

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ISBN 10: 0521867061 ISBN 13: 9780521867061

Editorial: Cambridge University Press, 2007

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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.

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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.

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Editorial: Cambridge University Press
A�o de publicaci�n: 2007
Idioma: Ingl�s
ISBN 10: 0521867061
ISBN 13: 9780521867061
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9780521686891: Data Analysis Using Regression and Multilevel/Hierarchical Models (Analytical Methods for Social Research)

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Data Analysis Using Regression and Multilevel/Hierarchical Models

Jennifer Hill,Andrew Gelman

Publicado por Cambridge University Press, 2006

ISBN 10: 0521867061 ISBN 13: 9780521867061

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Data Analysis Using Regression

Andrew Gelman

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ISBN 10: 0521867061 ISBN 13: 9780521867061

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Data Analysis Using Regression and Multilevel/Hierarchical Models

Jennifer Hill,Andrew Gelman

Publicado por Cambridge University Press, 2006

ISBN 10: 0521867061 ISBN 13: 9780521867061

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Librería: HPB-Red, Dallas, TX, Estados Unidos de America

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Hardcover. Condici�n: Acceptable. Connecting readers with great books since 1972. Used textbooks may not include companion materials such as access codes, etc. May have condition issues including wear and notes/highlighting. We ship orders daily and Customer Service is our top priority! N� de ref. del art�culo: S_448989181

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Data Analysis Using Regression and Multilevel/Hierarchical Models

Gelman, Andrew; Hill, Jennifer

Publicado por Cambridge University Press, 2006

ISBN 10: 0521867061 ISBN 13: 9780521867061

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Data Analysis Using Regression and Multilevel/Hierarchical Models

Andrew Gelman; Jennifer Hill

Publicado por Cambridge University Press, 2006

ISBN 10: 0521867061 ISBN 13: 9780521867061

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Hardcover. Condici�n: Fine. 1st Edition. Hardcover. Condition: Fine (Like New). Minor dusting; no damage to the cover or pages. Data Analysis Using Regression and Multilevel/Hierarchical Models (First published in 2007) is a comprehensive guide for applied researchers looking to perform data analysis using linear and nonlinear regression, as well as multilevel models. The book covers a broad range of statistical methods, including causal inference (regression, poststratification, matching, regression discontinuity, and instrumental variables), multilevel logistic regression, and missing-data imputation. It features numerous real-world data examples drawn from the authors own research, each accompanied by programming code to aid implementation. With clear instruction and practical tips on model building, fitting, and interpretation, this volume is ideal for readers using freely available software packages to conduct advanced data analysis. Box #39. N� de ref. del art�culo: 505

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