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Anglický jazyk
Causal Inference in Statistics - A Primer
Autor: Judea Pearl
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... Viac o knihe
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O knihe
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.
- Vydavateľstvo: John Wiley & Sons
- Rok vydania: 2017
- Formát: Paperback
- Rozmer: 244 x 172 mm
- Jazyk: Anglický jazyk
- ISBN: 9781119186847
