Seasonal Forecasting Model to Determine the Loss of Passengers Traveling Through Heathrow Airport Due to COVID-19

Author:

Mascarenhas SheldonORCID,Chaurasiya SudhirORCID

Publisher

Springer Nature Singapore

Reference8 articles.

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3. Alonso Brito GR, Rivero Villaverde A, Lau Quan A et al (2021) Comparison between SARIMA and Holt-Winters models for forecasting monthly streamflow in the western region of Cuba. SN Appl Sci 3:671. https://doi.org/10.1007/s42452-021-04667-5

4. ArunKumar KE, Kalaga DV, Kumar CMS, Chilkoor G, Kawaji M, Brenza TM (2021) Forecasting the dynamics of cumulative COVID-19 cases (confirmed, recovered and deaths) for top-16 countries using statistical machine learning models: auto-regressive integrated moving average (ARIMA) and seasonal auto-regressive integrated moving average (SARIMA). Appl Soft Comput 103:107161. ISSN 1568-4946, https://doi.org/10.1016/j.asoc.2021.107161. https://www.sciencedirect.com/science/article/pii/S1568494621000843

5. Narasimha Murthy KV, Saravana R, Vijaya Kumar K (2018) Modeling and forecasting rainfall patterns of southwest monsoons in North–East India as a SARIMA process. Meteorol Atmos Phys 130:99–106. https://doi.org/10.1007/s00703-017-0504-2; Nobre FF, Monteiro AB, Telles PR, Williamson GD (2001) Dynamic linear model and SARIMA: a comparison of their forecasting performance in epidemiology. Stat Med 20(20):3051–3069. https://doi.org/10.1002/sim.963

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