Regression And Other Stories

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Regression and Other Stories

Author	: Andrew Gelman
Publisher	: Cambridge University Press
Total Pages	: 551
Release	: 2021
ISBN-10	: 9781107023987
ISBN-13	: 110702398X
Rating	: 4/5 (98X Downloads)

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Book Synopsis Regression and Other Stories by : Andrew Gelman

Download or read book Regression and Other Stories written by Andrew Gelman and published by Cambridge University Press. This book was released on 2021 with total page 551 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical approach to using regression and computation to solve real-world problems of estimation, prediction, and causal inference.

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Language: en
Pages: 551

Regression and Other Stories

Authors: Andrew Gelman

Categories: Business & Economics

Type: BOOK - Published: 2021 - 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.

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Data Analysis Using Regression and Multilevel/Hierarchical Models

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Categories: Mathematics

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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.

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Teaching Statistics

Authors: Andrew Gelman

Categories: Mathematics

Type: BOOK - Published: 2002-08-08 - Publisher: OUP Oxford

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Students in the sciences, economics, psychology, social sciences, and medicine take introductory statistics. Statistics is increasingly offered at the high scho

Language: en
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Causal Inference

Authors: Scott Cunningham

Categories: Business & Economics

Type: BOOK - Published: 2021-01-26 - Publisher: Yale University Press

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An accessible, contemporary introduction to the methods for determining cause and effect in the Social Sciences “Causation versus correlation has been the bas

Language: en
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Bayesian Data Analysis, Third Edition

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