Probability via Expectation

Probability via Expectation
Author: Peter Whittle
Publisher: Springer Science & Business Media
Total Pages: 317
Release: 2013-12-01
Genre: Mathematics
ISBN: 1461228921

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This book is a complete revision of the earlier work Probability which ap peared in 1970. While revised so radically and incorporating so much new material as to amount to a new text, it preserves both the aim and the approach of the original. That aim was stated as the provision of a 'first text in probability, de manding a reasonable but not extensive knowledge of mathematics, and taking the reader to what one might describe as a good intermediate level'. In doing so it attempted to break away from stereotyped applications, and consider applications of a more novel and significant character. The particular novelty of the approach was that expectation was taken as the prime concept, and the concept of expectation axiomatized rather than that of a probability measure. In the preface to the original text of 1970 (reproduced below, together with that to the Russian edition of 1982) I listed what I saw as the advantages of the approach in as unlaboured a fashion as I could. I also took the view that the text rather than the author should persuade, and left the text to speak for itself. It has, indeed, stimulated a steady interest, to the point that Springer-Verlag has now commissioned this complete reworking.


Probability via Expectation
Language: en
Pages: 317
Authors: Peter Whittle
Categories: Mathematics
Type: BOOK - Published: 2013-12-01 - Publisher: Springer Science & Business Media

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This book is a complete revision of the earlier work Probability which ap peared in 1970. While revised so radically and incorporating so much new material as t
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Type: BOOK - Published: 2013-06-29 - Publisher: Springer Science & Business Media

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Authors: Rolf Steyer
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Type: BOOK - Published: 2017-03-10 - Publisher: John Wiley & Sons

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Probability and Conditional Expectations bridges the gap between books on probability theory and statistics by providing the probabilistic concepts estimated an
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Pages: 713
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Categories: Mathematics
Type: BOOK - Published: 2020-04-07 - Publisher: Springer Nature

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