Публікація: Parametric setting of the modified Wade forecast model
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Дата
2020
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Анотація
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.
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Ключові слова
predictive model, parametric tuning
Бібліографічний опис
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.