The Logic of Chance

$34.95

Publication Date: 25th April 2013

No mathematical background is necessary to appreciate this classic of probability theory, which remains unsurpassed in its clarity, readability, and sheer charm. Its author, British logician John Venn (1834-1923), popularized the famous Venn Diagrams that are commonly used for teaching elementary mathematics. In The Logic of Chance, he employs the same directness that makes his diagrams so effective.
The three-part treatment commences with an overview of the physical foundations of the science of probability, including surveys of the arrangement and formation of the series of p... Read More
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No mathematical background is necessary to appreciate this classic of probability theory, which remains unsurpassed in its clarity, readability, and sheer charm. Its author, British logician John Venn (1834-1923), popularized the famous Venn Diagrams that are commonly used for teaching elementary mathematics. In The Logic of Chance, he employs the same directness that makes his diagrams so effective.
The three-part treatment commences with an overview of the physical foundations of the science of probability, including surveys of the arrangement and formation of the series of p... Read More
Description
No mathematical background is necessary to appreciate this classic of probability theory, which remains unsurpassed in its clarity, readability, and sheer charm. Its author, British logician John Venn (1834-1923), popularized the famous Venn Diagrams that are commonly used for teaching elementary mathematics. In The Logic of Chance, he employs the same directness that makes his diagrams so effective.
The three-part treatment commences with an overview of the physical foundations of the science of probability, including surveys of the arrangement and formation of the series of probability; the origin or process of causation of the series; how to discover and prove the series; and the conception of randomness. The second part examines the logical superstructure on the basis of physical foundations, encompassing the measurement of belief; the rules of inference in probability; the rule of succession; induction; chance, causation, and design; material and formal logic; modality; and fallacies. The final section explores various applications of the theory of probability, including such intriguing aspects as insurance and gambling, the credibility of extraordinary stories, and approximating the truth by means of the theory of averages.

Unabridged republication of the revised 3rd edition published by Macmillan, London & New York, 1888.
Details
  • Price: $34.95
  • Pages: 544
  • Publisher: Dover Publications
  • Imprint: Dover Publications
  • Series: Dover Books on Mathematics
  • Publication Date: 25th April 2013
  • Trim Size: 5.37 x 8.5 in
  • ISBN: 9780486161044
  • Format: eBook
  • BISACs:
    MATHEMATICS / Logic
    MATHEMATICS / Probability & Statistics / General
Table of Contents
Part I. Physical Foundations of the Science of Probability
I. The Series of Probability
II. Arrangement and Formation of the Series. Laws of Error.
III. Origin or Process of Causation of the Series
IV. How to Discover and Prove the Series
V. The Conception of Randomness
Part II. Logical Superstructure on the Above Physical Foundations
VI. Measurement of Belief
VII. The Rules of Inference in Probability
VIII. The Rule of Succession
IX. Induction
X. Chance, Causation, and Design
XI. Material and Formal Logic
XII. Consequences of the Distinctions of the Previous Chapter
XIII. On Modality
XIV. Fallacies
Part III. Various Applications of the Theory of Probability
XV. Insurance and Gambling
XVI. Application of Probability to Testimony
XVII. Credibility of Extraordinary Stories
XVIII. On the Nature and Use of an Average, and on the Different Kinds of Average
XIX. The Theory of the Average as a Means of Approximation to the Truth
No mathematical background is necessary to appreciate this classic of probability theory, which remains unsurpassed in its clarity, readability, and sheer charm. Its author, British logician John Venn (1834-1923), popularized the famous Venn Diagrams that are commonly used for teaching elementary mathematics. In The Logic of Chance, he employs the same directness that makes his diagrams so effective.
The three-part treatment commences with an overview of the physical foundations of the science of probability, including surveys of the arrangement and formation of the series of probability; the origin or process of causation of the series; how to discover and prove the series; and the conception of randomness. The second part examines the logical superstructure on the basis of physical foundations, encompassing the measurement of belief; the rules of inference in probability; the rule of succession; induction; chance, causation, and design; material and formal logic; modality; and fallacies. The final section explores various applications of the theory of probability, including such intriguing aspects as insurance and gambling, the credibility of extraordinary stories, and approximating the truth by means of the theory of averages.

Unabridged republication of the revised 3rd edition published by Macmillan, London & New York, 1888.
  • Price: $34.95
  • Pages: 544
  • Publisher: Dover Publications
  • Imprint: Dover Publications
  • Series: Dover Books on Mathematics
  • Publication Date: 25th April 2013
  • Trim Size: 5.37 x 8.5 in
  • ISBN: 9780486161044
  • Format: eBook
  • BISACs:
    MATHEMATICS / Logic
    MATHEMATICS / Probability & Statistics / General
Part I. Physical Foundations of the Science of Probability
I. The Series of Probability
II. Arrangement and Formation of the Series. Laws of Error.
III. Origin or Process of Causation of the Series
IV. How to Discover and Prove the Series
V. The Conception of Randomness
Part II. Logical Superstructure on the Above Physical Foundations
VI. Measurement of Belief
VII. The Rules of Inference in Probability
VIII. The Rule of Succession
IX. Induction
X. Chance, Causation, and Design
XI. Material and Formal Logic
XII. Consequences of the Distinctions of the Previous Chapter
XIII. On Modality
XIV. Fallacies
Part III. Various Applications of the Theory of Probability
XV. Insurance and Gambling
XVI. Application of Probability to Testimony
XVII. Credibility of Extraordinary Stories
XVIII. On the Nature and Use of an Average, and on the Different Kinds of Average
XIX. The Theory of the Average as a Means of Approximation to the Truth