Entropy-based parameter estimation in hydrology

Abstract

The book covers entropy-based techniques for parameter estimation in hydrology, dividing the material into 22 chapters. 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, probability-weighted moments, L-moments, and least squares, using field data as well as Monte Carlo simulation experiments.