Parametric setting of the modified Wade forecast model

Romanenkov, Yu.; Pronchakov, Yu.; Zieiniiev, T.

Публікація:
Parametric setting of the modified Wade forecast model

dc.contributor.author	Romanenkov, Yu.
dc.contributor.author	Pronchakov, Yu.
dc.contributor.author	Zieiniiev, T.
dc.date.accessioned	2024-09-11T13:49:37Z
dc.date.available	2024-09-11T13:49:37Z
dc.date.issued	2020
dc.description.abstract	The problem of parametric setting of the modified Wade forecast model is considered. The similarity of the predictive models of Brown and Wade is analytically evaluated. Critical regions are determined on the extended admissible set of the smoothing parameter, within which the quality of the Brown and Wade models is significantly different. Recommendations are given regarding the parametric tuning of the Wade predictive model based on retrospective analysis by criterion. The necessity of independent parametric tuning of Brown and Wade models is shown. An example of the practical use of the proposed recommendations is given. The results allow the user to intelligently select and tune the specified predictive models.
dc.identifier.citation	Romanenkov Yu. Parametric setting of the modified Wade forecast model / Yu. Romanenkov, Yu. Pronchakov, T. Zieiniiev. – In book: Intelligent computer-integrated information technology in project and program management : Collective monograph / edited by I. Linde, I. Chumachenko, V. Timofeyev. – Riga, ISMA, 2020. – P. 271-280.
dc.identifier.doi	https://doi.org/10.30837/MMP.2020.271
dc.identifier.uri	https://openarchive.nure.ua/handle/document/28622
dc.language.iso	en
dc.subject	predictive model
dc.subject	parametric tuning
dc.title	Parametric setting of the modified Wade forecast model
dc.type	Book chapter
dspace.entity.type	Publication