Abstract
The properties and problems in parameter estimation of the extreme-value type 1 (EV1) distribution are discussed and then further examined using the principle of maximum entropy. This emerging concept points to a unique technique for the parameter estimation and provides the necessary justification for Kimball's method over maximum likelihood. A simple algorithm for this parameter estimation technique is presented and illustrated using an historical record of annual maximum floods.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.