Causal Inference in Statistics

A Primer Lançado em maio de 2016 (ePub) em Inglês
    Causal Inference in Statistics_0
    Causal Inference in Statistics
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    • Data de lançamento maio 2016
      Editor Wiley
      Formato 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... Ver mais

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    Resumo

    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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    Formato

    ePub

    Editor

    Wiley

    Data de lançamento

    maio 2016

    EAN

    9781119186861

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