Background
Good, Irving John was born on December 9, 1916 in London. Son of Morris Edward and Sophia (Polikoff) Good. came to the United States, 1967.
( These sparkling essays by a gifted thinker offer philos...)
These sparkling essays by a gifted thinker offer philosophical views on the roots of statistical interference. A pioneer in the early development of computing, Irving J. Good made fundamental contributions to the theory of Bayesian inference and was a key member of the team that broke the German Enigma code during World War II. Good maintains that a grasp of probability is essential to answering both practical and philosophical questions. This compilation of his most accessible works concentrates on philosophical rather than mathematical subjects, ranging from rational decisions, randomness, and the nature of probability to operational research, artificial intelligence, cognitive psychology, and chess. These twenty-three self-contained articles represent the author's work in a variety of fields but are unified by a consistently rational approach. Five closely related sections explore Bayesian rationality; probability; corroboration, hypothesis testing, and simplicity; information and surprise; and causality and explanation. A comprehensive index, abundant references, and a bibliography refer readers to classic and modern literature. Good's thought-provoking observations and memorable examples provide scientists, mathematicians, and historians of science with a coherent view of probability and its applications.
http://www.amazon.com/gp/product/0486474380/?tag=2022091-20
(The problem of how to estimate probabilities has interest...)
The problem of how to estimate probabilities has interested philosophers, statisticians, actuaries, and mathematicians for a long time. It is currently of interest for automatic recognition, medical diagnosis, and artificial intelligence in general. The main purpose of this monograph is to review existing methods, especially those that are new or have not been written up in a connected manner. The need for nontrivial theory arises because our samples are usually too small for us to rely exclusively on the frequency definition of probability. Most of the techniques described in this book depend on a modern Bayesian approach. The maximum-entropy principle, also relevant to this discussion, is used in the last chapter. It is hoped that the book will stimulate further work in a field whose importance will increasingly be recognized. Methods for estimating probabilities are related to another part of statistics, namely, significance testing, and examples of this relationship are also presented.Many readers will be persuaded by this work that it is necessary to make use of a theory of subjective probability in order to estimate physical probabilities; and also that a useful idea is that of a hierarchy of three types of probability which can sometimes be identified with, physical, logical, and subjective probabilities. The Estimation of Probabilities is intended for statisticians, probabilists, philosophers of science, mathematicians, medical diagnosticians, and workers on artificial intelligence.
http://www.amazon.com/gp/product/0262570157/?tag=2022091-20
mathematician philosopher statistics educator
Good, Irving John was born on December 9, 1916 in London. Son of Morris Edward and Sophia (Polikoff) Good. came to the United States, 1967.
Doctor of Science, Cambridge (England) University, 1963; Doctor of Science, Oxford (England) University, 1964.
Scientific officer, Foreign Office, Bletchley, England, 1941-1945;
lecturer mathematics and electronic computing, Manchester (England) University, 1945-1948;
senior principal science officer, Government Communications Headquarters, Cheltenham, England, 1948-1959;
special merit deputy chief science officer, Admiralty Research Laboratory, Teddington, Middlesex., England, 1959-1962;
senior research fellow, Trinity College, University of Oxford and Atlas Computer Laboratory, Didcot, Berkshire., England, 1964-1967;
University distinguished professor stats, Adjunct Professor philosophy, Virginia Polytechnic Institute and State University, Blacksburg, since 1967;
professor emeritus. Adjunct Professor Center Study of Science in Society. Member committee theory committee Ministry Supply, London, 1953-1956.
Member committee committee electronics research committee Ministry Aviation, London, 1960-1962. Member research section committee Royal Statistical Society, London, 1965-1967.
(The problem of how to estimate probabilities has interest...)
(The problem of how to estimate probabilities has interest...)
( These sparkling essays by a gifted thinker offer philos...)
Fellow Royal Statistics Society (honorary), American Academy Arts and Sciences, Virginia Academy of Sciences, Institute of Mathematics Statistics, American Statistical Association. Member Institute of Electrical and Electronics Engineers Computer Society (Pioneer award 1998), International Statistical Institute (honorary).