Extremes in Random Fields: A Theory and Its Applications Hardcover - 2013
by Benjamin Yakir
From the rear cover
Presents a useful new technique for analyzing the extreme-value behaviour of random fields
Modern science typically involves the analysis of increasingly complex data. The extreme values that emerge in the statistical analysis of complex data are often of particular interest. This book focuses on the analytical approximations of the statistical significance of extreme values. Several relatively complex applications of the technique to problems that emerge in practical situations are presented. All the examples are difficult to analyze using classical methods, and as a result, the author presents a novel technique, designed to be more accessible to the user.
Extreme value analysis is widely applied in areas such as operational research, bioinformatics, computer science, finance and many other disciplines. This book will be useful for scientists, engineers and advanced graduate students who need to develop their own statistical tools for the analysis of their data. Whilst this book may not provide the reader with the specific answer it will inspire them to rethink their problem in the context of random fields, apply the method, and produce a solution.
Details
- Title Extremes in Random Fields: A Theory and Its Applications
- Author Benjamin Yakir
- Binding Hardcover
- Edition First
- Pages 250
- Volumes 1
- Language ENG
- Publisher Wiley
- Date 2013
- Illustrated Yes
- ISBN 9781118620205 / 1118620208
- Weight 1 lbs (0.45 kg)
- Dimensions 9.3 x 5.9 x 0.7 in (23.62 x 14.99 x 1.78 cm)
- Library of Congress subjects Random fields, MATHEMATICS / Probability & Statistics /
- Library of Congress Catalog Number 2013018539
- Dewey Decimal Code 519.23
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Extremes in Random Fields: A Theory and Its Applications (Wiley Series in Probability and Statistics)
by Yakir, Benjamin
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Show Details
Extremes in Random Fields
by Benjamin Yakir
- New
- Hardcover
- Condition
- New
- Binding
- Hardcover
- ISBN 10 / ISBN 13
- 9781118620205 / 1118620208
- Quantity Available
- 3
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Woodside, New York, United States
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