Please use this identifier to cite or link to this item:
https://er.nau.edu.ua/handle/NAU/47546
Title: | Forecasting methods on air transport |
Authors: | Matlinh, Yeva Olehivna Medynskyi, Denys Volodymyrovich |
Keywords: | forecasting methods linear regression model forecasting transportation air transport forecast the traffic level |
Issue Date: | 2020 |
Publisher: | National Aviation University |
Citation: | Matlinh Y. O., Medynskyi D. V. Forecasting methods on air transport / Y. O. Matlinh, D. V. Medynskyi // Інноваційні технології: матеріали наук.-техн.конф. студентів, аспірантів, докторантів та молодих учених / за заг. ред. П. В. Горінова, К. О. Бабікової , Л. М. Мельничук; ІНТЛ НАУ (м. Київ, 25-26 листоп. 2020 р.). - К., 2020. - C. 339-342 |
Abstract: | In this article, we reviewed forecasting methods based on smoothing, exponential smoothing and moving average. The main thing of this paper is that when forecasting transportation, it is necessary to choose the most important factors that affect transportation. To sum up everything that has been stated so far, we have compared method predictions based on different methods to forecast the traffic level on new airports. |
URI: | https://er.nau.edu.ua/handle/NAU/47546 |
Appears in Collections: | XVII науково-технічна конференція студентів, аспірантів, докторантів та молодих учених "Інноваційні технології" |
Files in This Item:
File | Description | Size | Format | |
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FORECASTING METHODS ON AIR TRANSPORT.pdf | 663.53 kB | Adobe PDF | View/Open |
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