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:
Postgraduates, professional statisticians and researchers in academia and industry will benefit from this book.
"synopsis" may belong to another edition of this title.
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.
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:
Postgraduates, professional statisticians and researchers in academia and industry will benefit from this book
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:
Postgraduates, professional statisticians and researchers in academia and industry will benefit from this book
"About this title" may belong to another edition of this title.
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Hardcover. Condition: new. Hardcover. 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. Providing a thorough treatment on statistical causality, this resource presents a broad collection of contributions from experts in their fields. Methods and their applications are provided with theoretical background and emphasis is given to practice rather than theory, with technical content kept to a minimum. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9780470665565
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Condition: New. Providing a thorough treatment on statistical causality, this resource presents a broad collection of contributions from experts in their fields. Methods and their applications are provided with theoretical background and emphasis is given to practice rather than theory, with technical content kept to a minimum. Editor(s): Berzuini, Carlo; Dawid, Philip; Bernardinell, Luisa. Series: Wiley Series in Probability and Statistics. Num Pages: 416 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 247 x 174 x 24. Weight in Grams: 776. . 2012. 1st Edition. Hardcover. . . . . Seller Inventory # V9780470665565
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