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Glymour, Madelyn

Causal Inference in Statistics: A Primer

Glymour, Madelyn - Causal Inference in Statistics: A Primer, ebook

34,85€

Ebook, ePUB with Adobe DRM
ISBN: 9781119186861
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Printing48 pages with an additional page accrued every 16 hours, capped at 48 pages
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Many of the concepts and terminology surrounding modern causal inference can be quite intimidating to the novice. Judea Pearl presents a book ideal for beginners in statistics, providing a comprehensive introduction to the field of causality. Examples from classical statistics are presented throughout to demonstrate the need for causality in resolving decision-making dilemmas posed by data. Causal methods are also compared to traditional statistical methods, whilst questions are provided at the end of each section to aid student learning.

Keywords:

causal inference; cause effect relationships; interventions; tatistical methods; interpreting data; medicine; public policy; law; probability and statistics

, Statistics for Social Sciences, Medical Statistics & Epidemiology, Statistics for Social Sciences, Medical Statistics & Epidemiology
Author(s)
 
 
Publisher
John Wiley and Sons, Inc.
Publication year
2016
Language
en
Edition
1
Page amount
160 pages
Category
Natural Sciences
Format
Ebook
eISBN (ePUB)
9781119186861
Printed ISBN
9781119186847

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