Abstract
Maximum-likelihood estimation of multinomial proportions subject to linear inequality or equality constraints is considered. A demonstration that surrogate constraints yield a zero-degree-of-difficulty geometric programming problem is given. A general solution in terms of surrogate multipliers and the unconstrained estimates is exhibited. A computational algorithm is presented and used to solve an example problem pertaining to coal deliveries received by a power plant.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Communications in Statistics - Simulation and Computation
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.
