Probability via Expectation.

WHITTLE, Peter

ISBN 10: 0387977643 / ISBN 13: 9780387977645

Published by Springer, New York, 1992

About this Item

3rd ed. N.Y., Springer (1992). gr.8°. 22 figs. XVIII, 300 p. Pbck. (corners slightly bumped).- Springer Texts in Statistics.- Few pages with pencil underlinings.

Seller Inventory # 19504

Bibliographic Details

• Title: Probability via Expectation.
• Publisher: Springer, New York
• Publication Date: 1992
• Language: English
• ISBN 10: 0387977643
• ISBN 13: 9780387977645
• Binding: Softcover
• Edition: 3rd Edition
• Condition: Sehr gut

About this title

Synopsis

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.

From the Back Cover

This classical text, here presented in a third and completely rewritten edition, has been widely used as an introduction to probability. Its main aim is to present a straightforward introduction to the main concepts and applications of probability at an undergraduate level.All the main concepts of a first course in probability are covered including probability measures, independence, conditional probability, the basic limit theorems, and Markov processes.