Record Details

On J M Keynes’s Rejection of the Moscow School of Probability’s Limiting Frequency Approach to Probability and Kolmogorov’s Axiom of Additivity (Countable Additivity ): Non –Additivity was the fundamental, basic axiom upon which all of the Economics of Ke

Scholedge International Journal of Management & Development

View Archive Info
 
 
Field Value
 
Title On J M Keynes’s Rejection of the Moscow School of Probability’s Limiting Frequency Approach to Probability and Kolmogorov’s Axiom of Additivity (Countable Additivity ): Non –Additivity was the fundamental, basic axiom upon which all of the Economics of Ke
 
Creator Brady, Michael Emmett; Lecturer,
College of Business Administration and Public Policy,
Department of Operations Management,
California State University, Dominguez Hills,
Carson, California
 
Subject Education
Moscow School of Probability; Kolmogorov’s Axiom of Additivity; Economics of Keynes

 
Description J M Keynes was an acknowledged, world renown, and internationally recognized expert in probability and statistics in the 1930’s based on his A Treatise on Probability (1921). . Keynes had been selected by statistics journals to serve as a referee during the 1930’s. It is, therefore, no surprise that he was selected as the referee by the League of Nations to review Jan Tinbergen’s work on business cycles that used an econometrics approach based on The Law of Large Numbers, the Central Limit Theorem, and the Gaussian (Normal) Distribution .The fundamental axiom used by Tinbergen was additivity . Kolmogorov and the Moscow School of Probability’s main innovation was to go from the axiom of additivity to the axiom of countable additivity. However, Keynes rejected additivity except in the special case that the weight of the evidence, w, which measured the relative completeness of the evidence ,defined on the closed unit interval [0,1],equaled 1 , approached 1,or approximated 1. Keynes also accepted goodness of fit tests, such as the Lexis –Q test, and exploratory data analysis as evidence that could be used to support using a particular probability distribution.
 
Publisher Scholedge R&D Center
 
Contributor
 
Date 2015-12-11
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article

 
Format application/pdf
 
Identifier http://www.thescholedge.org/index.php/sijmd/article/view/257
10.19085/journal.sijmd021102
 
Source Scholedge International Journal of Management & Development ISSN 2394-3378; Vol 2, No 11 (2015); 7-20
2394-3378
 
Language eng
 
Relation http://www.thescholedge.org/index.php/sijmd/article/view/257/362
 
Coverage


 
Rights Copyright (c) 2015 Scholedge International Journal of Management & Development ISSN 2394-3378
http://creativecommons.org/licenses/by-nc/4.0