Entropy-Based Parameter Estimation in Hydrology

the long version

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.