Abstract
This article proposes a new forecast quality evaluation method for parametric models. The method takes into account the nonequivalence of forecast errors induced by different accuracies of evaluation of unknown parameters at different time instants and uses nonuniform weighting. Optimal weights values are determined and several numerical algorithms are proposed for their approximate evaluation. The method is tested using time series that describe real economic processes.
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.
