Verlag: Cambridge University Press, 2006
ISBN 10: 052168689X ISBN 13: 9780521686891
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In den WarenkorbPaperback. Zustand: Good. No Jacket. Former library book; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 2.52.
Verlag: Cambridge University Press, 2006
ISBN 10: 052168689X ISBN 13: 9780521686891
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In den WarenkorbPaperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 2.52.
Verlag: Cambridge University Press, 2006
ISBN 10: 052168689X ISBN 13: 9780521686891
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Verlag: Cambridge University Press, 2006
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In den WarenkorbPaperback. Zustand: Good. This book is a study, reference, or reading copy only. The book has some shelfwear, edge wear, corner curling, cover creasing. Inside pages are clean. ; 6.97 X 1.38 X 9.96 inches; 648 pages.
Verlag: Cambridge University Press, 2006
ISBN 10: 052168689X ISBN 13: 9780521686891
Sprache: Englisch
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Verlag: Cambridge University Press, 2006
ISBN 10: 052168689X ISBN 13: 9780521686891
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Verlag: Cambridge University Press, 2006
ISBN 10: 052168689X ISBN 13: 9780521686891
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Verlag: Cambridge University Press, 2006
ISBN 10: 052168689X ISBN 13: 9780521686891
Sprache: Englisch
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In den Warenkorbpaperback. Zustand: As New. Book is in excellent condition, text is unmarked and pages are tight.
Verlag: Cambridge University Press, 2006
ISBN 10: 052168689X ISBN 13: 9780521686891
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Verlag: Cambridge University Press, 2011
ISBN 10: 052168689X ISBN 13: 9780521686891
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In den WarenkorbZustand: 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.
Verlag: Cambridge University Press, 2006
ISBN 10: 052168689X ISBN 13: 9780521686891
Sprache: Englisch
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In den WarenkorbZustand: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
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Verlag: Cambridge University Press 2007-06-14, 2007
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ISBN 10: 052168689X ISBN 13: 9780521686891
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Verlag: Cambridge University Press, 2013
ISBN 10: 0521867061 ISBN 13: 9780521867061
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In den WarenkorbZustand: Sehr gut. Zustand: Sehr gut | Seiten: 648 | Sprache: Englisch | Produktart: Bücher.
Verlag: Cambridge University Press, 2006
ISBN 10: 052168689X ISBN 13: 9780521686891
Sprache: Englisch
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In den WarenkorbHardcover. Zustand: 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.
Verlag: Cambridge University Press, 2006
ISBN 10: 0521867061 ISBN 13: 9780521867061
Sprache: Englisch
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In den WarenkorbHardcover. Zustand: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less 2.86.
Verlag: Cambridge University Press, GB, 2006
ISBN 10: 052168689X ISBN 13: 9780521686891
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: 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. 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.
Verlag: Cambridge University Press, GB, 2006
ISBN 10: 052168689X ISBN 13: 9780521686891
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: 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. 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.
Verlag: Cambridge University Press, 2006
ISBN 10: 052168689X ISBN 13: 9780521686891
Sprache: Englisch
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In den WarenkorbPaperback. Zustand: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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In den WarenkorbPaperback. Zustand: Brand New. 1st edition. 625 pages. 10.00x7.25x1.75 inches. In Stock.
Verlag: Cambridge University Press, GB, 2006
ISBN 10: 052168689X ISBN 13: 9780521686891
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In den WarenkorbPaperback. Zustand: 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. 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.
Verlag: Cambridge University Press, 2006
ISBN 10: 052168689X ISBN 13: 9780521686891
Sprache: Englisch
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ISBN 10: 052168689X ISBN 13: 9780521686891
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In den WarenkorbPaperback. Zustand: 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. 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.
Verlag: Cambridge University Press, 2006
ISBN 10: 0521867061 ISBN 13: 9780521867061
Sprache: Englisch
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Verlag: Cambridge University Press 2007-06-14, 2007
ISBN 10: 0521867061 ISBN 13: 9780521867061
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In den WarenkorbHardcover. Zustand: New.
Verlag: Cambridge University Press, 2013
ISBN 10: 0521867061 ISBN 13: 9780521867061
Sprache: Englisch
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In den WarenkorbGebunden. Zustand: 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.
Verlag: Cambridge University Press, 2006
ISBN 10: 0521867061 ISBN 13: 9780521867061
Sprache: Englisch
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