Data Analysis Using Regression and Multilevel/Hierarchical Models

Data Analysis Using Regression and Multilevel/Hierarchical Models
Author: Andrew Gelman
Publisher: Cambridge University Press
Total Pages: 654
Release: 2007
Genre: Mathematics
ISBN: 9780521686891


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This book, first published in 2007, is for the applied researcher performing data analysis using linear and nonlinear regression and multilevel models.

Data Analysis Using Regression and Multilevel/Hierarchical Models
Language: en
Pages: 654
Authors: Andrew Gelman
Categories: Mathematics
Type: BOOK - Published: 2007 - Publisher: Cambridge University Press

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This book, first published in 2007, is for the applied researcher performing data analysis using linear and nonlinear regression and multilevel models.
Data Analysis Using Regression and Multilevel/Hierarchical Models
Language: en
Pages: 7
Authors: Andrew Gelman
Categories: Mathematics
Type: BOOK - Published: 2006-12-18 - Publisher: Cambridge University Press

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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 pe
Data Analysis Using Regression and Multilevel/hierarchical Models
Language: en
Pages: 625
Authors: Andrew Gelman
Categories:
Type: BOOK - Published: 2009 - Publisher:

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Regression and Other Stories
Language: en
Pages: 551
Authors: Andrew Gelman
Categories: Business & Economics
Type: BOOK - Published: 2020-07-23 - Publisher: Cambridge University Press

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A practical approach to using regression and computation to solve real-world problems of estimation, prediction, and causal inference.
Bayesian Data Analysis, Third Edition
Language: en
Pages: 677
Authors: Andrew Gelman
Categories: Mathematics
Type: BOOK - Published: 2013-11-01 - Publisher: CRC Press

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Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzin