Explicativity: a mathematical theory of explanation with statistical applications

By explicativity is meant the extent to which one proposition or event explains why another one should be believed. Detailed mathematical and philosophical arguments are given for accepting a specific formula for explicativity that was previously proposed by the author with much less complete discussion. Some implications of the formula are discussed, and it is applied to several problems of statistical estimation and significance testing with intuitively appealing results. The work is intended to be a contribution to both philosophy and statistics.

[1]  Myron Tribus,et al.  Chapter Seven – Rational Descriptions , 1969 .

[2]  J Rothstein,et al.  Information, Measurement, and Quantum Mechanics. , 1951, Science.

[3]  L. J. Savage,et al.  Probability and the weighing of evidence , 1951 .

[4]  Lee J. Cronbach,et al.  A CONSIDERATION OF INFORMATION THEORY AND UTILITY THEORY AS TOOLS FOR PSYCHOMETRIC PROBLEMS , 1953 .

[5]  Israel Scheffler,et al.  The anatomy of inquiry , 1963 .

[6]  H. Reichenbach,et al.  The Direction of Time , 1959 .

[7]  M. Kendall,et al.  The Logic of Scientific Discovery. , 1959 .

[8]  E. Jaynes Information Theory and Statistical Mechanics , 1957 .

[9]  Paul Adrien Maurice Dirac,et al.  The Evolution of the Physicist's Picture of Nature , 1963 .

[10]  R. A. Leibler,et al.  On Information and Sufficiency , 1951 .

[11]  D. Lindley On a Measure of the Information Provided by an Experiment , 1956 .

[12]  Wesley C. Salmon,et al.  Statistical explanation & statistical relevance , 1971 .

[13]  S. B. Atienza-Samols,et al.  With Contributions by , 1978 .

[14]  Irving John Good,et al.  A Derivation of the Probabilistic Explication of Information , 1966 .

[15]  James G. Greeno,et al.  Evaluation of Statistical Hypotheses Using Information Transmitted , 1970, Philosophy of Science.

[16]  C. E. SHANNON,et al.  A mathematical theory of communication , 1948, MOCO.

[17]  Irving John Good,et al.  The Estimation of Probabilities: An Essay on Modern Bayesian Methods , 1965 .

[18]  P. Suppes A Probabilistic Theory Of Causality , 1970 .

[19]  I. Good,et al.  The Diagnostic Process with Special Reference to Errors , 1971, Methods of Information in Medicine.

[20]  Solomon Kullback,et al.  Information Theory and Statistics , 1960 .

[21]  K. Popper,et al.  The Logic of Scientific Discovery , 1960 .

[22]  E. Nagel The structure of science : problems in the logic of scientific explanation , 1961 .

[23]  W. M. Thorburn,et al.  THE MYTH OF OCCAM'S RAZOR , 1918 .

[24]  C. Hempel,et al.  Studies in the Logic of Explanation , 1948, Philosophy of Science.

[25]  M. Tribus Rational descriptions, decisions, and designs , 1969 .

[26]  I. Good Maximum Entropy for Hypothesis Formulation, Especially for Multidimensional Contingency Tables , 1963 .

[27]  J. F. Crook,et al.  The Bayes/Non-Bayes Compromise and the Multinomial Distribution , 1974 .

[28]  H. Jeffreys An invariant form for the prior probability in estimation problems , 1946, Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences.

[29]  Irving John Good,et al.  A CORRECTION CONCERNING COMPLEXITY , 1974, The British Journal for the Philosophy of Science.

[30]  H. Jehle,et al.  Albert Einstein: Philosopher-Scientist. , 1951 .