Causal Inference in Statistics
3.05 из 5, отдано 26 голосов
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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Категория: математика
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Правообладатель: John Wiley & Sons Limited
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Возрастное ограничение: 0+
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ISBN: 9781119186854
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Легальная стоимость: 4634.54 руб.
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