Download EBOOK Data Analysis Using Regression and Multilevel / Hierarchical Models PDF for free


Download EBOOK Data Analysis Using Regression and Multilevel / Hierarchical Models PDF for free Category: Science & Geography
The author of the book: Andrew Gelman
Format files: PDF, EPUB, TXT, DOCX
The size of the: 543 KB
Language: English
ISBN-13: 9780521686891
Edition: CAMBRIDGE UNIVERSITY PRESS
Date of issue: 1 June 2007

Description of the book "Data Analysis Using Regression and Multilevel / Hierarchical Models":

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 PDF, as well as multilevel logistic regression and missing-data imputation. Practical tips regarding building, fitting, and understanding are provided throughout.

Download EBOOK Data Analysis Using Regression and Multilevel / Hierarchical Models PDF for free


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Andrew Gelman

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Download EBOOK Data Analysis Using Regression and Multilevel / Hierarchical Models PDF for free



Download EBOOK Data Analysis Using Regression and Multilevel / Hierarchical Models for free

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