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Logic of Statistical Inference by Ian Hacking (1976, Trade Paperback)
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About this product
Product Identifiers
PublisherCambridge University Press
ISBN-100521290597
ISBN-139780521290593
eBay Product ID (ePID)77901230
Product Key Features
Number of Pages244 Pages
Publication NameLogic of Statistical Inference
LanguageEnglish
Publication Year1976
SubjectProbability & Statistics / General, Logic
TypeTextbook
AuthorIan Hacking
Subject AreaMathematics, Philosophy
FormatTrade Paperback
Dimensions
Item Height0.7 in
Item Weight10.9 Oz
Item Length9 in
Item Width6 in
Additional Product Features
Intended AudienceScholarly & Professional
Dewey Edition23
IllustratedYes
Dewey Decimal519.5/4
Table Of ContentPreface; 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.
SynopsisThis book is a philosophical study of the basic principles of statistical reasoning. Professor Hacking has sought to discover the simple principles that underlie modern work in mathematical statistics and to test them, both at a philosophical level and in terms of their practical consequences fort statisticians., This book is a philosophical study of the basic principles of statistical reasoning. Professor Hacking has sought to discover the simple principles which underlie modern work in mathematical statistics and to test them, both at a philosophical level and in terms of their practical consequences fort statisticians. The ideas of modern logic are used to analyse these principles, and results are presented without the use of unfamiliar symbolism. It begins with a philosophical analysis of a few central concepts and then, using an elementary system of logic, develops most of the standard statistical theory. the analysis provides answers to many disputed questions about how to test statistical hypotheses and about how to estimate quantities in the light of statistical data. One product of the analysis is a sound and consistent rationale for R. A. Fisher's controversial concept of 'fiducial probability'.
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