Abstract
This paper presents point-by-point feature selective validation (FSV) data as a continuous distribution function, rather than in the more usual confidence histogram form, and from that derives the mean, standard deviation, skewness, and kurtosis. The increased information that this offers is shown by presenting again the data from three previous exercises to verify FSV performance against visual assessment but including the standard deviation, where it is demonstrated that more robust conclusions about FSV overall assessment can be provided. The implication of the use of statistical data within FSV for including uncertainty in data comparisons is discussed.
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 callMore From: IEEE Transactions on Electromagnetic Compatibility
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.
