The Estimation Of Probabilities: An Essay on Modern Bayesian Methods by Good

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Book Title
The Estimation Of Probabilities: An Essay on Modern Bayesian Meth
Publication Date
2003-03-17
Pages
109
ISBN
9780262570152
Kategorie

Über dieses Produkt

Product Identifiers

Publisher
MIT Press
ISBN-10
0262570157
ISBN-13
9780262570152
eBay Product ID (ePID)
65614172

Product Key Features

Number of Pages
109 Pages
Language
English
Publication Name
Estimation of Probabilities : an Essay on Modern Bayesian Methods
Subject
Probability & Statistics / General, General, Probability & Statistics / Bayesian Analysis
Publication Year
2003
Type
Textbook
Author
Irving John Good
Subject Area
Mathematics
Format
Trade Paperback

Dimensions

Item Height
0.3 in
Item Weight
13 Oz
Item Length
8.5 in
Item Width
5.4 in

Additional Product Features

Intended Audience
Trade
TitleLeading
The
Grade From
College Graduate Student
Dewey Decimal
519.1
Synopsis
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. 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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