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Estimation of Probabilities : An Essay on Modern Bayesian Methods by Irving John Good (2003, Trade Paperback)
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About this product
Product Identifiers
PublisherMIT Press
ISBN-100262570157
ISBN-139780262570152
eBay Product ID (ePID)65614172
Product Key Features
Number of Pages109 Pages
LanguageEnglish
Publication NameEstimation of Probabilities : an Essay on Modern Bayesian Methods
SubjectProbability & Statistics / General, General, Probability & Statistics / Bayesian Analysis
Publication Year2003
TypeTextbook
AuthorIrving John Good
Subject AreaMathematics
FormatTrade Paperback
Dimensions
Item Height0.3 in
Item Weight13 Oz
Item Length8.5 in
Item Width5.4 in
Additional Product Features
Intended AudienceTrade
TitleLeadingThe
Grade FromCollege Graduate Student
Dewey Decimal519.1
SynopsisThe 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. This monograph reviews existing methods, including those that are new or have not been written up in a connected manner., 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. This monograph reviews existing methods, including those that are new or have not been written up in a connected manner. 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 about in an organized way. 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 example 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.
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