
Logic of Statistical Inference
Ian Hacking(Author)
Cambridge University Press
Published on 26. August 2016
Book
Hardback
226 pages
978-1-107-14495-8 (ISBN)
Description
One of Ian Hacking's earliest publications, this book showcases his early ideas on the central concepts and questions surrounding statistical reasoning. He explores the basic principles of statistical reasoning and tests them, both at a philosophical level and in terms of their practical consequences for statisticians. Presented in a fresh twenty-first-century series livery, and including a specially commissioned preface written by Jan-Willem Romeijn, illuminating its enduring importance and relevance to philosophical enquiry, Hacking's influential and original work has been revived for a new generation of readers.
More details
Series
Language
English
Place of publication
Cambridge
United Kingdom
Target group
Professional and scholarly
Product notice
sewn/stitched
Cloth over boards
Illustrations
5 Tables, black and white; 9 Line drawings, unspecified
Dimensions
Height: 239 mm
Width: 154 mm
Thickness: 17 mm
Weight
458 gr
ISBN-13
978-1-107-14495-8 (9781107144958)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
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Ian Hacking
Logic of Statistical Inference
E-Book
08/2016
Cambridge University Press
€15.99
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Ian Hacking
Logic of Statistical Inference
Book
08/2016
Cambridge University Press
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Ian Hacking
Logic of Statistical Inference
E-Book
08/2016
Cambridge University Press
€17.49
Available for download
Persons
Ian Hacking is Emeritus Professor of Philosophy at the University of Toronto. He has published extensively on logic, philosophy of science, philosophy of maths and metaphysics. His most recent publications include Why Is There Philosophy of Mathematics At All? (Cambridge, 2014), Scientific Reason (2009) and Exercises in Analysis (Cambridge, 2009).
Content
Preface to this edition Jan-Willem Romeijn; 1. Long run frequencies; 2. The chance set-up; 3. Support; 4. The long run; 5. The law of likelihood; 6. Statistical tests; 7. Theories of testing; 8. Random sampling; 9. The fiducial argument; 10. Estimation; 11. Point estimation; 12. Bayes' theory; 13. The subjective theory.