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Sojourns And Extremes of Stochastic Processes (Wadsworth and Brooks/Cole Statistics/Probability Series)

Sojourns And Extremes of Stochastic Processes (Wadsworth and Brooks/Cole Statistics/Probability Series)

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Author: Simeon Berman
Publisher: Chapman & Hall/CRC
Category: Book

List Price: $179.95
Buy New: $131.99
You Save: $47.96 (27%)



New (17) Used (10) from $111.86

Rating: 5.0 out of 5 stars 2 reviews
Sales Rank: 2474379

Media: Hardcover
Edition: 1
Pages: 320
Number Of Items: 1
Shipping Weight (lbs): 1.3
Dimensions (in): 9.7 x 6.1 x 0.8

ISBN: 0534139329
Dewey Decimal Number: 519.2
EAN: 9780534139322

Publication Date: January 9, 1992
Availability: Usually ships in 1-2 business days
Shipping: International shipping available
Condition: Book is brand new, and has never been opened. Thousands of satisfied customers!

Editorial Reviews:

Product Description
Sojourns and Extremes of Stochastic Processes is a research monograph in the area of probability theory. During the past thirty years Berman has made many contributions to the theory of the extreme values and sojourn times of the sample functions of broad classes of stochastic processes. These processes arise in theoretical and applied models, and are presented here in a unified exposition.


Customer Reviews:

5 out of 5 stars authoritative and detailed account of extremes   February 7, 2008
Michael R. Chernick (Holland PA)
26 out of 26 found this review helpful

This text provides an authoritative treatment of sojourn times and extreme values for stochastic processes. Emphasis is on stationary Gaussian processes and Markov random fields. Much of the book includes the author's own research providing a unified treatment of results from numerous journal articles.


5 out of 5 stars authoritative coverage of extremes for Gaussian processes   January 29, 2002
Michael R. Chernick (Malvern, PA)
5 out of 5 found this review helpful

This text provides an authoritative treatment of sojourn times and extreme values for stochastic processes. Emphasis is on stationary Gaussian processes and Markov random fields. Much of the book includes the author's own research providing a unified treatment of results from numerous journal articles.

 
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