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| Full Title | Causal Inference in Statistics A Primer 1st Edition |
|---|---|
| Author(s) | Judea Pearl, Madelyn Glymour, Nicholas P. Jewell |
| Edition | 1st Edition |
| ISBN | 9781119186861, 9781119186847, 9781119186854 |
| Publisher | John Wiley & Sons P&T |
| Format | PDF and EPUB |
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.
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