Probability, Objectivity and Evidence (Paperback)
Language: English
Published by Taylor & Francis Ltd, London, 2026
- Softcover
- New

Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
AbeBooks seller since October 12, 2005
Condition: New
US$ 59.13
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Paperback. First published in 1984, in Probability, Objectivity and Evidence the author claims that the theory of probability provides a single, correct, analysis of probability and that the concept of probability employed in science can best be understood as that of inductive probability; to do so, it is necessary to show both how the logical relation theory of probability can be given a formulation sufficiently objective for the purposes of science, and how other attempts to explain the objective character of probability judgements are unsatisfactory.These and related questions occupy the first five chapters of the book. The last two chapters contain more or less independent material on the principle of indifference. The author argues that in essence, the logical relation theory alone can explain how we have objective knowledge of probabilities, and so it alone provides a viable system translation of the concept of probability used in science. This is a must read for students of logic and philosophy. First published in 1984, in Probability, Objectivity and Evidence the author claims that the theory of probability provides a single, correct, analysis of probability. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…
Seller Inventory # 9781041108030
- Title
- Probability, Objectivity and Evidence (Paperback)
- Author
- F.C. Benenson
- Publisher
- Taylor & Francis Ltd, London
- Publication year
- 2026
- Condition
- new
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1041108036
- ISBN 13
- 9781041108030
First published in 1984, in Probability, Objectivity and Evidence the author claims that the theory of probability provides a single, correct, analysis of probability and that the concept of probability employed in science can best be understood as that of inductive probability; to do so, it is necessary to show both how the logical relation theory of probability can be given a formulation sufficiently objective for the purposes of science, and how other attempts to explain the objective character of probability judgements are unsatisfactory.
These and related questions occupy the first five chapters of the book. The last two chapters contain more or less independent material on the principle of indifference. The author argues that in essence, the logical relation theory alone can explain how we have objective knowledge of probabilities, and so it alone provides a viable system translation of the concept of probability used in science. This is a must read for students of logic and philosophy.
"Synopsis" may belong to another edition of this title.
Grand Eagle Retail
Bensenville, IL, U.S.A.
AbeBooks seller since October 12, 2005
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