F. Y. Edgeworth on J. M. Keynes' A Treatise on Probability

F. Y. Edgeworth on J. M. Keynes' A Treatise on Probability PDF Author: Michael Emmett Brady
Publisher:
ISBN:
Category :
Languages : en
Pages : 18

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Edgeworth's two reviews of the A Treatise on Probability, in Mind and The Journal of the Royal Statistical Society, demonstrated an understanding of many of the topics of Keynes' approach that was not achieved by any other reviewer, including the reviews made by B. Russell and C. D. Broad.Edgeworth covered and understood that interval valued probability was the most general representation of the probability relation for Keynes, that the weight of the evidence, was opposed to the weight of the argument, V, was an important breakthrough, along with Keynes' conventional coefficient of weight and risk, c.He recognized the connection between the "finite probabilities" of part III of the TP and interval valued probability, as well as the connection between them and Keynes' concepts of intuition, the logic of similarity-dissimilarity, resemblances, pattern recognition, and analogy. He understood the importance of being able to apply Chebyshev's Inequality in areas where Keynes had raised concerns about the effectiveness of the standard approach. Edgeworth's review is vastly superior to the reviews of Ronald Fisher and Arne Fisher, as well as to the reviews of E. Wilson, R. Pearl, or H. Jefferys.

F. Y. Edgeworth on J. M. Keynes' A Treatise on Probability

F. Y. Edgeworth on J. M. Keynes' A Treatise on Probability PDF Author: Michael Emmett Brady
Publisher:
ISBN:
Category :
Languages : en
Pages : 18

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Book Description
Edgeworth's two reviews of the A Treatise on Probability, in Mind and The Journal of the Royal Statistical Society, demonstrated an understanding of many of the topics of Keynes' approach that was not achieved by any other reviewer, including the reviews made by B. Russell and C. D. Broad.Edgeworth covered and understood that interval valued probability was the most general representation of the probability relation for Keynes, that the weight of the evidence, was opposed to the weight of the argument, V, was an important breakthrough, along with Keynes' conventional coefficient of weight and risk, c.He recognized the connection between the "finite probabilities" of part III of the TP and interval valued probability, as well as the connection between them and Keynes' concepts of intuition, the logic of similarity-dissimilarity, resemblances, pattern recognition, and analogy. He understood the importance of being able to apply Chebyshev's Inequality in areas where Keynes had raised concerns about the effectiveness of the standard approach. Edgeworth's review is vastly superior to the reviews of Ronald Fisher and Arne Fisher, as well as to the reviews of E. Wilson, R. Pearl, or H. Jefferys.

A Treatise on Probability

A Treatise on Probability PDF Author: John Maynard Keynes
Publisher:
ISBN:
Category : Probabilities
Languages : en
Pages : 494

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A Comparison - Contrast of the Technical Understanding Exhibited by F.Y. Edgeworth in His Two 1922 Book Reviews of J. M. Keynes's a Treatise on Probability with that of the Keynesian Fundamentalists, Such As Runde, Skidelsky, O'Donnell, Carabelli, Feduzi and Lawson, Between 1980 and 2016 - A Problem of Lost Knowledge

A Comparison - Contrast of the Technical Understanding Exhibited by F.Y. Edgeworth in His Two 1922 Book Reviews of J. M. Keynes's a Treatise on Probability with that of the Keynesian Fundamentalists, Such As Runde, Skidelsky, O'Donnell, Carabelli, Feduzi and Lawson, Between 1980 and 2016 - A Problem of Lost Knowledge PDF Author: Michael Emmett Brady
Publisher:
ISBN:
Category :
Languages : en
Pages : 36

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Book Description
F. Y. Edgeworth, in 1922, demonstrated a very deep and penetrating understanding of the technical, mathematical, logical and statistical analysis provided by J M Keynes in 1921 in his magnum opus, the A Treatise on Probability. No other reviewer, except Bertrand Russell, showed such a great understanding of Keynes's book. Edgeworth's two reviews are, however, carried out with very high technical and analytic standards of mathematical, logical, statistical, and philosophical care. Edgeworth understood, like no other reviewer at that time or since, the great strengths of Keynes's breakthroughs, as well as what the limitations of Keynes's theory were.The Keynesian Fundamentalists lacked the technical training in mathematics, logic, and statistics that would be required to follow and duplicate what Edgeworth was doing in these reviews. Therefore, the two Edgeworth reviews and their content were skipped over by the Keynesian Fundamentalists, as well as by all other philosophers and economists. This unfortunate result was probably strengthened by the appearance in 2002 of a strange piece written on the history of economic thought at the interface between economics and statistics by Steven Stigler that erroneously claimed that Edgeworth's reviews of Keynes's A Treatise on Probability were as highly critical of Keynes's work as was the empty diatribe published by Ronald Fisher in 1923 in the Eugenics Review. Nothing could be further from the truth.This paper demonstrates that there is no Keynesian Fundamentalist, philosopher or economist who is even close to Edgeworth in his grasp and understanding of the detailed mathematical and logical analysis provided by Keynes in 1921.All of the valuable summaries, analysis, commentary, support, and criticism of the positions presented by Keynes in the formulation of his logical approach to probability, made by Edgeworth in his two reviews of Keynes's A Treatise on Probability (1921) in 1922, were lost in the years between 1922 and 2016.

Reviewing the Reviewer's of Keynes's a Treatise on Probability

Reviewing the Reviewer's of Keynes's a Treatise on Probability PDF Author: Michael Brady
Publisher: Xlibris Corporation
ISBN: 1524544892
Category : Philosophy
Languages : en
Pages : 179

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Book Description
The standard view of the economics profession is that Keynes was a brilliant, intuitive, nonrigorous innovator. These essays show that Keynes backed up his intuitions with a rigorous mathematical and logical supporting analysis, which has been overlooked.

A Treatise on Probability

A Treatise on Probability PDF Author: John Maynard Keynes
Publisher: Createspace Independent Publishing Platform
ISBN: 9781724600080
Category :
Languages : en
Pages : 556

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Book Description
A Treatise on Probability: Large Print By John Maynard Keynes First published in 1920, this is the foundational work of probability theory, which helped establish the author's enormous influence on modern economic and even political theories. Exploring aspects of randomness and chance, inductive reasoning and logical statistics, this is a work that belongs in the library of any interested in numbers and their application in the real world. We are delighted to publish this classic book as part of our extensive Classic Library collection. Many of the books in our collection have been out of print for decades, and therefore have not been accessible to the general public. The aim of our publishing program is to facilitate rapid access to this vast reservoir of literature, and our view is that this is a significant literary work, which deserves to be brought back into print after many decades. The contents of the vast majority of titles in the Classic Library have been scanned from the original works. To ensure a high quality product, each title has been meticulously hand curated by our staff. Our philosophy has been guided by a desire to provide the reader with a book that is as close as possible to ownership of the original work. We hope that you will enjoy this wonderful classic work, and that for you it becomes an enriching experience.

A Treatise on Probability

A Treatise on Probability PDF Author: John Maynard Keynes
Publisher: Andesite Press
ISBN: 9781298609700
Category :
Languages : en
Pages : 488

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Book Description
This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

A Treatise on Probability

A Treatise on Probability PDF Author: John Keynes
Publisher: Createspace Independent Publishing Platform
ISBN: 9781505480481
Category :
Languages : en
Pages : 550

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The subject matter of this book was first broached in the brain of Leibniz, who, in the dissertation, written in his twenty-third year, on the mode of electing the kings of Poland, conceived of Probability as a branch of Logic. A few years before, "un probl�me," in the words of Poisson, "propos� � un aust�re jans�niste par un homme du monde, a �t� l''origine du calcul des probabiliti�s." In the intervening centuries the algebraical exercises, in which the Chevalier de la M�r� interested Pascal, have so far predominated in the learned world over the profounder enquiries of the philosopher into those processes of human faculty which, by determining reasonable preference, guide our choice, that Probability is oftener reckoned with Mathematics than with Logic. There is much here, therefore, which is novel and, being novel, unsifted, inaccurate, or deficient. I propound my systematic conception of this subject for criticism and enlargement at the hand of others, doubtful whether I myself am likely to get much further, by waiting longer, with a work, which, beginning as a Fellowship Dissertation, and interrupted by the war, has already extended over many years.It may be perceived that I have been much influenced by W. E. Johnson, G. E. Moore, and Bertrand Russell, that is to say by Cambridge, which, with great debts to the writers of Continental Europe, yet continues in direct succession the English tradition of Locke and Berkeley and Hume, of Mill and Sidgwick, who, in spite of their divergences of doctrine, are united in a preference for what is matter of fact, and have conceived their subject as a branch rather of science than of the creative imagination, prose writers, hoping to be understood.J. M. KEYNES.King''s College, Cambridge"J''ai dit plus d''une fois qu''il faudrait une nouvelle esp�ce de logique, qui traiteroit des degr�s de Probabilit�."-Leibniz.1. Part of our knowledge we obtain direct; and part by argument. The Theory of Probability is concerned with that part which we obtain by argument, and it treats of the different degrees in which the results so obtained are conclusive or inconclusive. In most branches of academic logic, such as the theory of the syllogism or the geometry of ideal space, all the arguments aim at demonstrative certainty. They claim to be conclusive. But many other arguments are rational and claim some weight without pretending to be certain. In Metaphysics, in Science, and in Conduct, most of the arguments, upon which we habitually base our rational beliefs, are admitted to be inconclusive in a greater or less degree. Thus for a philosophical treatment of these branches of knowledge, the study of probability is required.The course which the history of thought has led Logic to follow has encouraged the view that doubtful arguments are not within its scope. But in the actual exercise of reason we do not wait on certainty, or doom it irrational to depend on a doubtful argument. If logic investigates the general principles of valid thought, the study of arguments, to which it is rational to attach some weight, is as much a part of it as the study of those which are demonstrative.2. The terms certain and probable describe the various degrees of rational belief about a proposition which different amounts of knowledge authorise us to entertain. All propositions are true or false, but the knowledge we have of them depends on our circumstances; and while it is often convenient to speak of propositions as certain or probable, this expresses strictly a relationship in which they stand to a corpus of knowledge, actual or hypothetical, and not a characteristic of the propositions in themselves. A proposition is capable at the same time of varying degrees of this relationship, depending upon the knowledge to which it is related, so that it is without significance to call a proposition probable unless we specify the knowledge to which we are relating it.

A Treatise on Probability - Scholar's Choice Edition

A Treatise on Probability - Scholar's Choice Edition PDF Author: John Maynard Keynes
Publisher:
ISBN: 9781295970216
Category :
Languages : en
Pages : 486

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Book Description
This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

The Collected Writings of John Maynard Keynes: A treatise on probability

The Collected Writings of John Maynard Keynes: A treatise on probability PDF Author: John Maynard Keynes
Publisher:
ISBN:
Category : Economics
Languages : en
Pages : 552

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Book Description


F.Y.Edgeworth's Two Reviews of Keynes's a Treatise on Probability Easily Refutes G. Wheeler's 2012 Claim About '...How Far Kyburg Went Beyond Keynes...' (Wheeler, 2012, P.443)

F.Y.Edgeworth's Two Reviews of Keynes's a Treatise on Probability Easily Refutes G. Wheeler's 2012 Claim About '...How Far Kyburg Went Beyond Keynes...' (Wheeler, 2012, P.443) PDF Author: Michael Emmett Brady
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Book Description
H. E. Kyburg never read beyond chapter 6 of Keynes's A Treatise on Probability. From 1959 till his death in 2007, Kyburg continually based his assessment of Keynes's accomplishments on pp. 30 and 34 of Chapter III of the A Treatise on Probability. Edgeworth's careful and judicious reading of Keynes's chapter III allowed him to conclude that Keynes's theory was an interval valued theory of probability, as opposed to Kyburg's claims that Keynes merely had made some comments that would lead one to conclude that Keynes had made some interesting “suggestions, hints, notions,i ntuitions, ideas,” that would lead to an interval valued theory of probability if they were developed mathematically and logically.Wheeler 's evaluation of Keynes is simply a repetition of Kyburg's nearly 50 years of evaluations ,which are vastly inferior to Edgeworth's evaluation, which skipped Part II of Keynes's A Treatise on Probability.A study of Part II of A Treatise on Probability reveals that Keynes had a very advanced mathematical and logical theory of interval valued probability based on Boole's original presentation on pp.265-268 of The Laws of Thought that was presented in chapters 15,16, and 17 of Part II. This was accepted by the American mathematician E .B. Wilson, who acknowledged this grudgingly in his second, disguised review of the A Treatise on Probability that concentrated on chapter 17 of Part II, while ignoring the crucial chapter 15 in the September, 1934 issue of the Journal of the American Statistical Association. Wilson's 1934 paper has never been cited by any academic in any field in the 20th or 21st centuries. It also leads to a total rejection of Ramsey's two reviews of Keynes's A Treatise on Probability, as well as Wheeler's assessment about “... Ramsey's brilliant critique of Keynes's ideas about probability...” (Wheeler, 2012,p. 443).