Statistical Models and Causal Inference

Statistical Models and Causal Inference
Author :
Publisher : Cambridge University Press
Total Pages : 416
Release :
ISBN-10 : 9780521195003
ISBN-13 : 0521195004
Rating : 4/5 (03 Downloads)

Book Synopsis Statistical Models and Causal Inference by : David A. Freedman

Download or read book Statistical Models and Causal Inference written by David A. Freedman and published by Cambridge University Press. This book was released on 2010 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: David A. Freedman presents a definitive synthesis of his approach to statistical modeling and causal inference in the social sciences.


Statistical Models and Causal Inference Related Books

Statistical Models and Causal Inference
Language: en
Pages: 416
Authors: David A. Freedman
Categories: Mathematics
Type: BOOK - Published: 2010 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

David A. Freedman presents a definitive synthesis of his approach to statistical modeling and causal inference in the social sciences.
Statistical Models for Causal Analysis
Language: en
Pages: 274
Authors: Robert D. Retherford
Categories: Mathematics
Type: BOOK - Published: 2011-02-01 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Simplifies the treatment of statistical inference focusing on how to specify and interpret models in the context of testing causal theories. Simple bivariate re
Statistical Models
Language: en
Pages: 459
Authors: David A. Freedman
Categories: Mathematics
Type: BOOK - Published: 2009-04-27 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

This lively and engaging book explains the things you have to know in order to read empirical papers in the social and health sciences, as well as the technique
Causal Inference in Statistics
Language: en
Pages: 162
Authors: Judea Pearl
Categories: Mathematics
Type: BOOK - Published: 2016-01-25 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

CAUSAL INFERENCE IN STATISTICS A Primer Causality is central to the understanding and use of data. Without an understanding of cause–effect relationships, we
Elements of Causal Inference
Language: en
Pages: 289
Authors: Jonas Peters
Categories: Computers
Type: BOOK - Published: 2017-11-29 - Publisher: MIT Press

DOWNLOAD EBOOK

A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning. The mathematization of causality is