Abstract
Abstract: A minmax problem statement of a problem of the parameter identification of the input/output mapping of systems is considered, based on the entropy (in the Shannon sense) of the identification error. Using the entropy based approach, a Gauss closeness measure is proposed, that simultaneously may serve as a simple test for the normality for any continuous probability distribution, suitable for applications within depended observations. A case study is considered, with confirming the full practical suitability of the theoretical considerations of the paper.
Sign-in/Register to access full text options 
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 callDisclaimer: 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.
