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Table of contents (20 chapters)
Keywords
About this book
Reviews
“This surprising and beautiful introduction to concepts of probability … chapters have been added which deal with areas of big actual interest … .” (Peter Imkeller, zbMATH 0980.60004, 2022)
From the reviews of the fourth edition:
"... a clear success in its unorthodoxy, Probability via Expectation has become a treasured classic."
P.A.L. Emrechts in "Short Book Reviews", Vol. 21/1, April, 2001
"Apart from presenting a case for the development of probability theory by using the expectation operator rather than probability measure as the primitive notion, a second distinctive feature of this book is the very large range of modern applications that it covers. Many of these are addressed by more than 350 exercises interspersed throughout the text. In summary, this well written book is a … introduction to probability theory and its applications." (Norbert Henze, Metrika, November, 2002)
"Originally published in 1970, this book has stood the test of time. … the text demonstrates a modern alternative approach to a now classical field. … The fourth edition contains a number of modifications and corrections. New material on dynamic programming, optimal allocation, options pricing and large deviations is included." (Martin T. Wells, Journal of the American Statistical Association, September 2001)
Authors and Affiliations
Bibliographic Information
Book Title: Probability via Expectation
Authors: Peter Whittle
Series Title: Springer Texts in Statistics
DOI: https://doi.org/10.1007/978-1-4612-0509-8
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 2000
Hardcover ISBN: 978-0-387-98955-6Published: 20 April 2000
Softcover ISBN: 978-1-4612-6795-9Published: 27 September 2012
eBook ISBN: 978-1-4612-0509-8Published: 06 December 2012
Series ISSN: 1431-875X
Series E-ISSN: 2197-4136
Edition Number: 4
Number of Pages: XXI, 353
Additional Information: Originally published by Penguin, 1970, and Wiley & Sons, 1976
Topics: Statistics, general, Probability Theory and Stochastic Processes