Overview

This text covers entropy-based techniques for parameter estimation in hydrology. The techniques are presented for 20 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.

Full Product Details

Author:   V.P. Singh
Publisher:   Springer
Imprint:   Springer
Edition:   1998 ed.
Volume:   30
Dimensions:   Width: 15.60cm , Height: 2.20cm , Length: 23.40cm
Weight:   1.590kg
ISBN:  

9780792352242

ISBN 10:   0792352246
Pages:   368
Publication Date:   31 October 1998
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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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)

'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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