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Causality: Statistical Perspectives and Applications: 986 (Wiley Series in Probability and Statistics) - Tapa dura

Libro 237 de 353: Wiley Series in Probability and Statistics
 
9780470665565: Causality: Statistical Perspectives and Applications: 986 (Wiley Series in Probability and Statistics)

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

Carlo Berzuini and Philip Dawid, Statistical Labority, centre for Mathematical Sciences, University of Cambridge, UK. Luisa Bernardinelli, MRC Biostatistics Unit, Institute of Public Health, Cambridge, UK.

De la contraportada

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

"Sobre este título" puede pertenecer a otra edición de este libro.