Entropy-Based Parameter Estimation for Kappa Distribution
Publication: Journal of Hydrologic Engineering
Volume 8, Issue 2
Abstract
An entropy-based method is developed for estimating parameters of the four-parameter kappa distribution. Using four sets of data on annual maximum rainfall and on annual peak flow discharge, the entropy-based method is evaluated and compared with the methods of moments, L-moments, probability-weighted moments, and the maximum likelihood estimation. The results of estimation show that both the entropy method and the L-moment method enable the four-parameter kappa distribution to fit the data well and a combination of the two methods can further improve estimation.
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Published In
Journal of Hydrologic Engineering
Volume 8 • Issue 2 • March 2003
Pages: 81 - 92
Copyright
Copyright © 2003 American Society of Civil Engineers.
History
Received: Jul 16, 2001
Accepted: Oct 7, 2002
Published online: Feb 14, 2003
Published in print: Mar 2003
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