Forecasting methods on air transport

Matlinh, Yeva Olehivna; Medynskyi, Denys Volodymyrovich

Please use this identifier to cite or link to this item: https://er.nau.edu.ua/handle/NAU/47546

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DC Field	Value	Language
dc.contributor.author	Matlinh, Yeva Olehivna	-
dc.contributor.author	Medynskyi, Denys Volodymyrovich	-
dc.date.accessioned	2021-02-19T11:45:55Z	-
dc.date.available	2021-02-19T11:45:55Z	-
dc.date.issued	2020	-
dc.identifier.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	uk_UA
dc.identifier.uri	https://er.nau.edu.ua/handle/NAU/47546	-
dc.description.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.	uk_UA
dc.language.iso	en	uk_UA
dc.publisher	National Aviation University	uk_UA
dc.subject	forecasting methods	uk_UA
dc.subject	linear regression model	uk_UA
dc.subject	forecasting transportation	uk_UA
dc.subject	air transport	uk_UA
dc.subject	forecast the traffic level	uk_UA
dc.title	Forecasting methods on air transport	uk_UA
dc.subject.udc	UDC 656.71:005.3:629.7(043.2)	uk_UA
Appears in Collections:	XVII науково-технічна конференція студентів, аспірантів, докторантів та молодих учених "Інноваційні технології"

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