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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.
Über die Autorin bzw. den Autor: 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.
Titel: Data Analysis Using Regression and ...
Verlag: Cambridge University Press
Erscheinungsdatum: 2006
Einband: Hardcover
Zustand: New
Anbieter: Buchpark, Trebbin, Deutschland
Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 648 | Sprache: Englisch | Produktart: Bücher | This book, first published in 2007, is for the applied researcher performing data analysis using linear and nonlinear regression and multilevel models. Artikel-Nr. 3617851/202
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Anbieter: Speedyhen, London, Vereinigtes Königreich
Zustand: NEW. Artikel-Nr. NW9780521867061
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Anbieter: moluna, Greven, Deutschland
Gebunden. 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. Artikel-Nr. 446951345
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Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book, first published in 2007, is for the applied researcher performing data analysis using linear and nonlinear regression and multilevel models. Artikel-Nr. 9780521867061
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Anbieter: preigu, Osnabrück, Deutschland
Buch. Zustand: Neu. Data Analysis Using Regression and Multilevel/Hierarchical Models | Andrew Gelman (u. a.) | Buch | Gebunden | Englisch | 2013 | Cambridge University Press | EAN 9780521867061 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. Artikel-Nr. 107917086
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Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New. 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 181 x 40. Weight in Grams: 1280. . 2006. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland. Artikel-Nr. V9780521867061
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Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Hardcover. Zustand: Brand New. 1st edition. 625 pages. 10.25x7.25x1.50 inches. In Stock. Artikel-Nr. x-0521867061
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