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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.
Hierarchical Linear Models
Language: en
Pages: 296
Authors: Anthony S. Bryk
Categories: Social Science
Type: BOOK - Published: 1992 - Publisher: SAGE Publications, Incorporated

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Hierarchical Linear Models launches a new Sage series, Advanced Quantitative Techniques in the Social Sciences. This introductory text explicates the theory and