Causal Inference in Statistics - A Primer (1119186846)

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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.

Product details

• Format Paperback | 156 pages
• Dimensions 175 x 243 x 10mm | 290g
• Publication date 07 Mar 2016
• Publisher John Wiley and Sons Ltd
• Imprint Wiley-Blackwell
• Publication City/Country Hoboken, United States
• Language English
• Edition Statement 1. Auflage
• Illustrations note black & white illustrations
• ISBN10 1119186846
• ISBN13 9781119186847
• Bestsellers rank 17,906

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