Entropy-Based Parameter Estimation in Hydrology

Author:   V.P. Singh
Publisher:   Springer
Edition:   Softcover reprint of the original 1st ed. 1998
Volume:   30
ISBN:  

9789048150892


Pages:   368
Publication Date:   06 December 2010
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Entropy-Based Parameter Estimation in Hydrology


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Overview

The book covers entropy-based techniques for parameter estimation in hydrology. The techniques are presented for twenty distributions used in hydrology, including the distributions of the normal family, the extreme-value family, the Pareto family, and the logistic family. A comparative assessment of the entropy-based techniques is made with traditional methods of parameter estimation, such as the methods of moments, maximum likelihood estimation, probability-weighted moments, L-moments, and least squares, using field data as well as Monte Carlo simulation experiments. The book is the first attempt to comprehensively present the entropy-based techniques for most distributions of interest in hydrology. Audience: The material covered in the book will be of interest to graduate students, researchers, and teachers, as well as practitioners of agricultural engineering, civil engineering, agricultural sciences, earth sciences, environmental sciences, and forest and range sciences.

Full Product Details

Author:   V.P. Singh
Publisher:   Springer
Imprint:   Springer
Edition:   Softcover reprint of the original 1st ed. 1998
Volume:   30
Dimensions:   Width: 15.50cm , Height: 2.00cm , Length: 23.50cm
Weight:   0.593kg
ISBN:  

9789048150892


ISBN 10:   9048150892
Pages:   368
Publication Date:   06 December 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1 Entropy and Principle of Maximum Entropy.- 2 Methods of Parameter Estimation.- 3 Uniform Distribution.- 4 Exponential Distribution.- 5 Normal Distribution.- 6 Two-Parameter Lognormal Distribution.- 7 Three-Parameter Lognormal Distribution.- 8 Extreme Value Type I Distribution.- 9 Log-Extreme Value Type I Distribution.- 10 Extreme Value Type III Distribution.- 11 Generalized Extreme Value Distribution.- 12 Weibull Distribution.- 13 Gamma Distribution.- 14 Pearson Type III Distribution.- 15 Log-Pearson Type III Distribution.- 16 Beta Distribution.- 17 Two-Parameter Log-Logistic Distribution.- 18 Three-Parameter Log-Logistic Distribution.- 19 Two-Parameter Pareto Distribution.- 20 Two-Parameter Generalized Pareto Distribution.- 21 Three-Parameter Generalized Pareto Distribution.- 22 Two-Component Extreme Value Distribution.

Reviews

'The author must be congratulated for bringing together such a wealth of information, and for its excellent presentation. The book will become a major reference volume for the parameter estimation of the probability distribution functions applied in water science. It is a welcome contribution to water resources literature and can be nominated as a book of a year in the water science area.' Pure and Applied Geophysics, 158 (2001)


'The author must be congratulated for bringing together such a wealth of information, and for its excellent presentation. The book will become a major reference volume for the parameter estimation of the probability distribution functions applied in water science. It is a welcome contribution to water resources literature and can be nominated as a book of a year in the water science area.' Pure and Applied Geophysics, 158 (2001)


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