Theory of probability : a critical introductory treatment / Bruno De Finetti ; [translated by] Antonio Machi and Adrian Smith.
By: De Finetti, Bruno [author].
Contributor(s): Machì, Antonio [translator]  Smith, Adrian [translator].
Material type: TextSeries: Wiley series in probability and statistics.Publisher: Chichester : John Wiley & Sons, ©2017Description: xiii, 582 pages : illustrations ; 25 cm.ISBN: 9781119286370 .Subject(s): ProbabilitiesDDC classification: 519.2Item type  Current location  Call number  Status  Date due  Barcode  Item holds  

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519.2 D272 Spatial Flemingviot models with selection and mutation /  519.2 D274 Inductive probability  519.2 D274 Inductive probability  519.2 D313 Theory of probability :  519.2 D321 Probability and statistics  519.2 D321 Probability and statistics  519.2 D321 Probability and statistics 
Includes bibliographical references and index.
1. Introduction 
2. Concerning certainty and uncertainty 
3. Prevision and probability 
4. Conditional prevision and probability 
5. The evaluation of probabilities 
6. Distributions 
7. A preliminary survey 
8. Random processes with independent increments 
9. An introduction to other types of stochastic process 
10. Problems in higher dimensions 
11. Inductive reasoning; statistical inference 
12. Mathematical statistics.
First issued in translation as a twovolume work in 1975, this classic book provides the first complete development of the theory of probability from a subjectivist viewpoint. It proceeds from a detailed discussion of the philosophical mathematical aspects to a detailed mathematical treatment of probability and statistics. De Finetti's theory of probability is one of the foundations of Bayesian theory. De Finetti stated that probability is nothing but a subjective analysis of the likelihood that something will happen and that that probability does not exist outside the mind. It is the rate at which a person is willing to bet on something happening. This view is directly opposed to the classicist/ frequentist view of the likelihood of a particular outcome of an event, which assumes that the same event could be identically repeated many times over, and the 'probability' of a particular outcome has to do with the fraction of the time that outcome results from the repeated trials.
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