Causal Inference in Statistics -

Causal Inference in Statistics

A Primer

By Judea Pearl, Madelyn Glymour, Nicholas P. Jewell

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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 code: 9781119186847

ISBN 9781119186847
On Sale Date 16/09/2016
Dimensions (HxWxD in mm) H249xW171xS9
Publisher John Wiley and Sons Ltd
No. Of Pages 156
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.