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Logic of Statistical Inference, Hacking, Ian, 9780521290593
US $12.69
ApproximatelyS$ 16.29
Condition:
Good
A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages.
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Located in: Carrollton, Texas, United States
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Estimated between Wed, 17 Sep and Tue, 23 Sep to 94104
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eBay item number:236181488024
Item specifics
- Condition
- ISBN
- 9780521290593
About this product
Product Identifiers
Publisher
Cambridge University Press
ISBN-10
0521290597
ISBN-13
9780521290593
eBay Product ID (ePID)
77901230
Product Key Features
Number of Pages
244 Pages
Publication Name
Logic of Statistical Inference
Language
English
Publication Year
1976
Subject
Probability & Statistics / General, Logic
Type
Textbook
Subject Area
Mathematics, Philosophy
Format
Trade Paperback
Dimensions
Item Height
0.7 in
Item Weight
10.9 Oz
Item Length
9 in
Item Width
6 in
Additional Product Features
Intended Audience
Scholarly & Professional
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
519.5/4
Table Of Content
Preface; 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.
Synopsis
This 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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