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Entropy-Based Parameter Estimation in Hydrology (Paperback, Softcover reprint of the original 1st ed. 1998) Loot Price: R4,037
Discovery Miles 40 370
Entropy-Based Parameter Estimation in Hydrology (Paperback, Softcover reprint of the original 1st ed. 1998): V.P. Singh

Entropy-Based Parameter Estimation in Hydrology (Paperback, Softcover reprint of the original 1st ed. 1998)

V.P. Singh

Series: Water Science and Technology Library, 30

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Loot Price R4,037 Discovery Miles 40 370 | Repayment Terms: R378 pm x 12*

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Since the pioneering work of Shannon in the late 1940's on the development of the theory of entropy and the landmark contributions of Jaynes a decade later leading to the development of the principle of maximum entropy (POME), the concept of entropy has been increasingly applied in a wide spectrum of areas, including chemistry, electronics and communications engineering, data acquisition and storage and retreival, data monitoring network design, ecology, economics, environmental engineering, earth sciences, fluid mechanics, genetics, geology, geomorphology, geophysics, geotechnical engineering, hydraulics, hydrology, image processing, management sciences, operations research, pattern recognition and identification, photogrammetry, psychology, physics and quantum mechanics, reliability analysis, reservoir engineering, statistical mechanics, thermodynamics, topology, transportation engineering, turbulence modeling, and so on. New areas finding application of entropy have since continued to unfold. The entropy concept is indeed versatile and its applicability widespread. In the area of hydrology and water resources, a range of applications of entropy have been reported during the past three decades or so. This book focuses on parameter estimation using entropy for a number of distributions frequently used in hydrology. In the entropy-based parameter estimation the distribution parameters are expressed in terms of the given information, called constraints. Thus, the method lends itself to a physical interpretation of the parameters. Because the information to be specified usually constitutes sufficient statistics for the distribution under consideration, the entropy method provides a quantitative way to express the information contained in the distribution.

General

Imprint: Springer
Country of origin: Netherlands
Series: Water Science and Technology Library, 30
Release date: December 2010
First published: 1998
Authors: V.P. Singh
Dimensions: 235 x 155 x 20mm (L x W x T)
Format: Paperback
Pages: 368
Edition: Softcover reprint of the original 1st ed. 1998
ISBN-13: 978-90-481-5089-2
Categories: Books > Earth & environment > Earth sciences > The hydrosphere > General
Books > Earth & environment > Earth sciences > Meteorology > General
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LSN: 90-481-5089-2
Barcode: 9789048150892

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