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Causal Inference in Statistics: A Primer

4/5 ( ratings)

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.

Pages: 160

Format: ebook

Publisher: Wiley

Release: January 25, 2016

ISBN: 1119186862

ISBN 13: 9781119186861

Causal Inference in Statistics: A Primer

4/5 ( ratings)

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.

Pages: 160

Format: ebook

Publisher: Wiley

Release: January 25, 2016

ISBN: 1119186862

ISBN 13: 9781119186861

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