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Ian Hacking Introduction to Probability and Inductive Logic (Paperback)

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
Book Title
Introduction to Probability and Inductive Logic
EAN
9780521775014
ISBN
9780521775014
Title
Introduction to Probability and Inductive Logic
Release Date
07/02/2001
Release Year
2001
Country/Region of Manufacture
GB
Genre
Philosophy & Spirituality

About this product

Product Identifiers

Publisher
Cambridge University Press
ISBN-10
0521775019
ISBN-13
9780521775014
eBay Product ID (ePID)
1915551

Product Key Features

Number of Pages
322 Pages
Publication Name
Introduction to Probability and Inductive Logic
Language
English
Publication Year
2001
Subject
Probability & Statistics / General, Logic
Type
Textbook
Subject Area
Mathematics, Philosophy
Author
Ian Hacking
Format
Trade Paperback

Dimensions

Item Height
0.8 in
Item Weight
20.2 Oz
Item Length
9.9 in
Item Width
6.9 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
00-045503
Reviews
'Hacking's book excels ... especially in the practical, concrete examples. It uses minimal mathematics and presumes no acquaintance with symbolic logic. It is well suited for graduate or advanced undergraduate courses in inductive logic or related areas (such as philosophy of science or methodology courses in particular empirical sciences). The book gives a nice introduction to inductive logic.' Harry Gensler, Times Higher Education Supplement, 'Hacking's book excels … especially in the practical, concrete examples. It uses minimal mathematics and presumes no acquaintance with symbolic logic. It is well suited for graduate or advanced undergraduate courses in inductive logic or related areas (such as philosophy of science or methodology courses in particular empirical sciences). The book gives a nice introduction to inductive logic.' Harry Gensler, Times Higher Education Supplement, "Hacking's textbook is likely to become the standard for inductive logic courses. He writes simply, in a lively style, without oversimplification. it starts at the beginning, and throughout uses only the simplest calculations. As it goes on, tools including P-values, confidence intervals, expected values, the basics of decision theory, and Bayesianism are introduced with mathematical honesty and refreshing philosophical scrutiny. Lively and original examples drawn from everyday life create the appropriate context to prepare students to think critically about the barrage of statisical arguments that confront us on a daily basis. From Madison Avenue's "4 out of 5 dentists choose..." to highly sophisticated economic modeling we poll and make prophecies based on statistical information regularly. Hacking's textbook sheds much needed light on the mystique reasoning." Katherine van Uum, Grinnell College, Iowa, "While written as an introductory text, it is full of philosophical wisdom. Moreover, this is wisdom that most students of philosophy need but find very hard to acquire. Hacking explains all the basic ideas of probability theory, the philosophical puzzles they raise, the standard lines of response, their strengths and weaknesses. He writes with the authority of someone who has helped form the debates and understands everything properly, but at the same time he gives a fair hearing to all positions worth taking seriously. At some point in the career of most philosophy students, graduates and undergraduates alike, they read stuff, which uses probalistic ideas and turn to their teachers for guidance. I can imagine that the teachers' automatic response for some decades to come will be to send these students to Hacking." David Papineau, King's College, London, 'This is, as intended, a very introductory text in probability and inductive logic.' Zentralblatt für Mathematik, 'This is, as intended, a very introductory text in probability and inductive logic.' Zentralblatt fr Mathematik, 'Hacking’s book excels ... especially in the practical, concrete examples. It uses minimal mathematics and presumes no acquaintance with symbolic logic. It is well suited for graduate or advanced undergraduate courses in inductive logic or related areas (such as philosophy of science or methodology courses in particular empirical sciences). The book gives a nice introduction to inductive logic.’Harry Gensler, Times Higher Education Supplement
TitleLeading
An
Dewey Edition
21
Illustrated
Yes
Dewey Decimal
160
Table Of Content
Part I. Logic: 1. Logic; 2. What is inductive logic?; Part II. How to Calculate Probabilities: 3. The gambler's fallacy; 4. Elementary probability; 5. Conditional probability; 6. Basic laws of probability; 7. Bayes' rule; Part III. How to Combine Probabilities and Utilities: 8. Expected value; 9. Maximizing expected value; 10. Decision under uncertainty; Part IV. Kinds of Probability: 11. What do you mean?; 12. Theories about probability; Part V. Probability as a Measure of Belief: 13. Personal probabilities; 14. Coherence; 15. Learning from experience; Part VI. Probability as Frequency: 16. Stability; 17. Normal approximations; 18. Significance; 19. Confidence and inductive behaviour; Part VII. Probability Applied to Philosophy: 20. The philosophical problem of induction; 21. Learning from experience as an evasion of the problem; 22. Inductive behaviour as an evasion of the problem.
Synopsis
This is an introductory 2001 textbook on probability and induction written by one of the world's foremost philosophers of science. The book has been designed to offer maximal accessibility to the widest range of students (not only those majoring in philosophy) and assumes no formal training in elementary symbolic logic. It offers a comprehensive course covering all basic definitions of induction and probability, and considers such topics as decision theory, Bayesianism, frequency ideas, and the philosophical problem of induction. The key features of this book are a lively and vigorous prose style; lucid and systematic organization and presentation of ideas; many practical applications; a rich supply of exercises drawing on examples from such fields as psychology, ecology, economics, bioethics, engineering, and political science; numerous brief historical accounts of how fundamental ideas of probability and induction developed; and a full bibliography of further reading., This is an introductory textbook on probability and induction written by one of the world's foremost philosophers of science. The book has been designed to offer maximal accessibility to the widest range of students (not only those majoring in philosophy) and assumes no formal training in elementary symbolic logic. It offers a comprehensive course covering all basic definitions of induction and probability, and considers such topics as decision theory, Bayesianism, frequency ideas, and the philosophical problem of induction. The key features of the book are: * A lively and vigorous prose style* Lucid and systematic organization and presentation of the ideas* Many practical applications* A rich supply of exercises drawing on examples from such fields as psychology, ecology, economics, bioethics, engineering, and political science* Numerous brief historical accounts of how fundamental ideas of probability and induction developed.* A full bibliography of further reading Although designed primarily for courses in philosophy, the book could certainly be read and enjoyed by those in the social sciences (particularly psychology, economics, political science and sociology) or medical sciences such as epidemiology seeking a reader-friendly account of the basic ideas of probability and induction. Ian Hacking is University Professor, University of Toronto. He is Fellow of the Royal Society of Canada, Fellow of the British Academy, and Fellow of the American Academy of Arts and Sciences. he is author of many books including five previous books with Cambridge (The Logic of Statistical Inference, Why Does Language Matter to Philosophy?, The Emergence of Probability, Representing and Intervening, and The Taming of Chance)., This is an introductory 2001 textbook on probability and induction written by one of the world's foremost philosophers of science. It offers a comprehensive course covering all basic definitions of induction and probability, and considers such topics as decision theory, Bayesianism, frequency ideas, and the philosophical problem of induction.
LC Classification Number
BC141 .H33 2001

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