Published by Cambridge University Press (edition 1), 2006
ISBN 10: 052168689X ISBN 13: 9780521686891
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Published by Cambridge University Press, 2006
ISBN 10: 052168689X ISBN 13: 9780521686891
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Published by Cambridge University Press, 2006
ISBN 10: 052168689X ISBN 13: 9780521686891
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Published by Cambridge University Press, 2006
ISBN 10: 052168689X ISBN 13: 9780521686891
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Published by Cambridge University Press, 2006
ISBN 10: 052168689X ISBN 13: 9780521686891
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Published by Cambridge University Press, 2006
ISBN 10: 052168689X ISBN 13: 9780521686891
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Published by Cambridge University Press, 2006
ISBN 10: 052168689X ISBN 13: 9780521686891
Language: English
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First Edition
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Published by Cambridge University Press, 2006
ISBN 10: 052168689X ISBN 13: 9780521686891
Language: English
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Published by Cambridge University Press, 2006
ISBN 10: 052168689X ISBN 13: 9780521686891
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Published by Cambridge University Press, 2019
ISBN 10: 052168689X ISBN 13: 9780521686891
Language: English
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Published by Cambridge University Press, 2006
ISBN 10: 052168689X ISBN 13: 9780521686891
Language: English
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Published by Cambridge University Press, 2006
ISBN 10: 052168689X ISBN 13: 9780521686891
Language: English
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Published by Cambridge University Press, 2006
ISBN 10: 052168689X ISBN 13: 9780521686891
Language: English
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Published by Cambridge University Press, 2006
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Published by Cambridge University Press, 2006
ISBN 10: 052168689X ISBN 13: 9780521686891
Language: English
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Published by Cambridge University Press, 2006
ISBN 10: 052168689X ISBN 13: 9780521686891
Language: English
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Published by Cambridge University Press, 2007
ISBN 10: 052168689X ISBN 13: 9780521686891
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Published by Cambridge University Press, Cambridge, 2006
ISBN 10: 052168689X ISBN 13: 9780521686891
Language: English
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First Edition
Paperback. Condition: new. Paperback. 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 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 imputation. Practical tips regarding building, fitting, and understanding are provided throughout. Author resource page: / gelman/arm/ 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 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 imputation. Practical tips regarding building, fitting, and understanding are provided throughout. Author resource page: ~gelman/arm/ Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by Cambridge University Press, 2006
ISBN 10: 052168689X ISBN 13: 9780521686891
Language: English
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Published by Cambridge University Press, 2006
ISBN 10: 052168689X ISBN 13: 9780521686891
Language: English
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Published by Cambridge University Press, 2006
ISBN 10: 052168689X ISBN 13: 9780521686891
Language: English
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Published by Cambridge University Press, 2006
ISBN 10: 052168689X ISBN 13: 9780521686891
Language: English
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First Edition
Condition: New. 2006. 1st Edition. paperback. This book, first published in 2007, is for the applied researcher performing data analysis using linear and nonlinear regression and multilevel models. Series Editor(s): Alvarez, R. Michael; Beck, Nathaniel L.; Wu, Lawrence L. Series: Analytical Methods for Social Research. Num Pages: 648 pages, 160 exercises. BIC Classification: JHBC; PBK. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 254 x 179 x 37. Weight in Grams: 1120. Series: Analytical Methods for Social Research. 648 pages, 160 exercises. For the applied researcher performing data analysis using linear and nonlinear regression and multilevel models. Cateogry: (P) Professional & Vocational; (U) Tertiary Education (US: College). BIC Classification: JHBC; PBK. Dimension: 254 x 179 x 37. Weight: 1132. Series Editor(s) :Alvarez, R. Michael; Beck, Nathaniel L.; Wu, Lawrence L. . . . . .
Published by Cambridge University Press, 2006
ISBN 10: 052168689X ISBN 13: 9780521686891
Language: English
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Published by Cambridge University Press, 2006
ISBN 10: 052168689X ISBN 13: 9780521686891
Language: English
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Condition: New. 2006. 1st Edition. paperback. This book, first published in 2007, is for the applied researcher performing data analysis using linear and nonlinear regression and multilevel models. Series Editor(s): Alvarez, R. Michael; Beck, Nathaniel L.; Wu, Lawrence L. Series: Analytical Methods for Social Research. Num Pages: 648 pages, 160 exercises. BIC Classification: JHBC; PBK. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 254 x 179 x 37. Weight in Grams: 1120. Series: Analytical Methods for Social Research. 648 pages, 160 exercises. For the applied researcher performing data analysis using linear and nonlinear regression and multilevel models. Cateogry: (P) Professional & Vocational; (U) Tertiary Education (US: College). BIC Classification: JHBC; PBK. Dimension: 254 x 179 x 37. Weight: 1132. Series Editor(s) :Alvarez, R. Michael; Beck, Nathaniel L.; Wu, Lawrence L. . . . . . Books ship from the US and Ireland.
Published by Cambridge University Press, 2006
ISBN 10: 052168689X ISBN 13: 9780521686891
Language: English
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Add to basketPaperback. Condition: Brand New. 1st edition. 625 pages. 10.00x7.25x1.75 inches. In Stock.
Published by Cambridge University Press, 2006
ISBN 10: 052168689X ISBN 13: 9780521686891
Language: English
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Published by Cambridge University Press, Cambridge, 2006
ISBN 10: 052168689X ISBN 13: 9780521686891
Language: English
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First Edition
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Add to basketPaperback. Condition: new. Paperback. 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 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 imputation. Practical tips regarding building, fitting, and understanding are provided throughout. Author resource page: / gelman/arm/ 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 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 imputation. Practical tips regarding building, fitting, and understanding are provided throughout. Author resource page: ~gelman/arm/ Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Published by Cambridge University Press, 2011
ISBN 10: 052168689X ISBN 13: 9780521686891
Language: English
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Add to basketCondition: New. 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 an.