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Viac o knihe Causal Inference in Statistics - A Primer (team of authors)
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.
Originálny názov:
Causal Inference in Statistics - A PrimerRok vydania:
2016ISBN:
9781119186847Rozmer:
172×244 mmPočet strán:
160Väzba:
brožovanáJazyk: angličtina
