Abstract
The paper deals with uncertainty estimation in indirect measurements. The attention is mainly paid to measurement models whose input quantities are modeled as correlated random variates. Starting from a past experience concerning the use of the unscented transform to overcome known limitations of current recommendations in indirect measurement involving uncorrelated input quantities, the authors are going to present a new proposal capable of extending the cited advantages also when correlated input quantities are concerned with. The new proposal is, in particular, addressed to nonlinear and/or nonanalytical measurement models. After describing key features and implementation issues of the proposal, the results obtained in a number of tests on simulated and actual measurement data are given, which assess its reliability and effectiveness
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.
