Del 30 i serien Water Science and Technology Library

Entropy-Based Parameter Estimation in Hydrology

Inbunden, Engelska, 1998

AvV.P. Singh

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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.

Produktinformation

Utgivningsdatum1998-10-31
Mått156 x 234 x 26 mm
Vikt746 g
FormatInbunden
SpråkEngelska
SerieWater Science and Technology Library
Antal sidor368
Upplaga1998
FörlagKluwer Academic Publishers
ISBN9780792352242

Tillhör följande kategorier

Geovetenskap inom Naturvetenskap och teknik

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.

'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)