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Causal Inference in Statistics : A Primer, Paperback by Pearl, Judea; Glymour…

Causal Inference in Statistics : A Primer, Paperback by Pearl, Judea; Glymour, Madelyn; Jewell, Nicholas P., ISBN 1119186846, ISBN-13 9781119186847, Brand New, Free shipping in the US 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.

Causal Inference in Statistics: A Primer

Condition Notes: The book is in good condition with all pages and cover intact, including the dust jacket if originally issued. The spine may show light wear.

Causal Inference in Statistics: A Primer Pearl, Judea, Madelyn Glymour and Nicho

“Causal Inference in Statistics: A Primer” by Judea Pearl, Madelyn Glymour, and Nicholas P. Jewell is a comprehensive textbook on the subject of probability and statistics, focusing on the application of statistical methods to causal reasoning. The book, published by Wiley & Sons in 2016, covers topics such as general probability theory, general statistics, and causal inference. With a total of 156 pages, the trade paperback format makes it easily accessible for students and professionals in the field. The authors provide a clear and informative approach to understanding the complexities of causal inference in statistics, making it a valuable resource for those interested in this specialized area of mathematics and philosophy.