Data Analysis Using Regression and Multilevel/Hierarchical Models
Gelman Andrew Hill Jennifer
ISBN 10: 0521867061 ISBN 13: 9780521867061
Published by Cambridge University Press, 2006
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pp. 648 68:B&W 7 x 10 in or 254 x 178 mm Case Laminate on White w/Gloss Lam. Seller Inventory # 7602516
Synopsis:
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...
About the Authors:
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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Bibliographic Details
Title: Data Analysis Using Regression and ...
Publisher: Cambridge University Press
Publication Date: 2006
Binding: Hardcover
Condition: New
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Data Analysis Using Regression and Multilevel/Hierarchical Models
Published by
Cambridge University Press, 2006
ISBN 10: 0521867061
ISBN 13: 9780521867061
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Hardcover. Condition: 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. Seller Inventory # 505
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Data Analysis Using Regression and Multilevel/Hierarchical Models
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ISBN 10: 0521867061
ISBN 13: 9780521867061
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Data Analysis Using Regression
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Data Analysis Using Regression and Multilevel/Hierarchical Models
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Data Analysis Using Regression and Multilevel/Hierarchical Models
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DATA ANALYSIS USING REGRESSION & MULTILE
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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
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Data Analysis Using Regression and Multilevel/Hierarchical Models
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ISBN 13: 9780521867061
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Data Analysis Using Regression and Multilevel / Hierarchical Models (Analytical Methods for Social Research)
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Hardcover. Condition: Brand New. 1st edition. 625 pages. 10.25x7.25x1.50 inches. In Stock. This item is printed on demand. Seller Inventory # __0521867061
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