Description

A state of the art volume on statistical causality

Causality: Statistical Perspectives and Applications presents a wide-ranging collection of seminal contributions by renowned experts in the field, providing a thorough treatment of all aspects of statistical causality. It covers the various formalisms in current use, methods for applying them to specific problems, and the special requirements of a range of examples from medicine, biology and economics to political science.

This book:

  • Provides a clear account and comparison of formal languages, concepts and models for statistical causality.
  • Addresses examples from medicine, biology, economics and political science to aid the reader's understanding.
  • Is authored by leading experts in their field.
  • Is written in an accessible style.

Postgraduates, professional statisticians and researchers in academia and industry will benefit from this book.

Causality: Statistical Perspectives and Applications

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£83.81

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Hardback by Carlo Berzuini , Philip Dawid

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Short Description:

A state of the art volume on statistical causality Causality: Statistical Perspectives and Applications presents a wide-ranging collection of seminal... Read more

    Publisher: John Wiley & Sons Inc
    Publication Date: 13/07/2012
    ISBN13: 9780470665565, 978-0470665565
    ISBN10: 0470665564

    Number of Pages: 416

    Non Fiction , Mathematics & Science , Education

    Description

    A state of the art volume on statistical causality

    Causality: Statistical Perspectives and Applications presents a wide-ranging collection of seminal contributions by renowned experts in the field, providing a thorough treatment of all aspects of statistical causality. It covers the various formalisms in current use, methods for applying them to specific problems, and the special requirements of a range of examples from medicine, biology and economics to political science.

    This book:

    • Provides a clear account and comparison of formal languages, concepts and models for statistical causality.
    • Addresses examples from medicine, biology, economics and political science to aid the reader's understanding.
    • Is authored by leading experts in their field.
    • Is written in an accessible style.

    Postgraduates, professional statisticians and researchers in academia and industry will benefit from this book.

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