естественные науки

математика

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.


учебная и научная литература

учебники и пособия для вузов

медицина / здравоохранение

фармакология

лекарственные средства

учебники для медицинских вузов

знания и навыки

Causal Inference in Statistics. A Primer

Judea Pearl

Жанры и тэги: