Causal Inference in Statistics: A Primer
By: and and
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- Synopsis
- 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.
- Copyright:
- 2016
Book Details
- Book Quality:
- Publisher Quality
- Book Size:
- 160 Pages
- ISBN-13:
- 9781119186854
- Related ISBNs:
- 9781119186847, 9781119186847, 9781119186847
- Publisher:
- Wiley
- Date of Addition:
- 10/20/19
- Copyrighted By:
- N/A
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Mathematics and Statistics
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.