Wojskowa Akademia Techniczna
Wydział Bezpieczeństwa, Logistyki i Zarządzania
2
Wojskowa Akademia Techniczna
Wydział Bezpieczeństwa, Logistyki i Zarządzania
Instytut Logistyki
3
Ministerstwo Obrony Narodowej
Departament Kadr
A - Research concept and design; B - Collection and/or assembly of data; C - Data analysis and interpretation; D - Writing the article; E - Critical revision of the article; F - Final approval of article
The study presents the methodology of multi-model forecasting of expenses in terms of economic security. The research began with an analysis of the literature on: planning, forecasting, expenses, economic security and the COVID-19 pandemic. The article analyzes the time series of expenses incurred by the research subject in terms of detecting the regularities governing the phenomenon in question. The result of the research was the detection of the trend and seasonality on a monthly basis. The analysis of the literature and own experience allowed for the selection of three models to forecast the considered expenditure for the future. The constructed models were analyzed and assessed through the use of the MAPE measure in terms of selecting the most favorable model for forecasting raw data. The article ends with a summary and conclusions.
PEER REVIEW INFORMATION
Article has been screened for originality
REFERENCES(15)
1.
BARROW, C., BARROW, P. (1992). Business Plan. Warszawa; Wydawnictwo Businessman.
KOZICKI, B., BRYCZEK-WRÓBEL, P., GÓRNIKIEWICZ, M. (2020). The Impact of the Coronavirus Pandemic on Russia’s Economic Security: Analysis of Exchange Rates of Selected Currencies and Energy Resources. European Research Studies Journal, 23 (Special 3), 228-238.
SATOMI, E. ET AL. (2020). Alocação justa de recuros de saúde escassos diante da pandemia de COVID-19 Considerações éticas. Einstein São Paulo, 18(2),1-5, DOI: 10.31744 / einstein_journal / 2020AE5775.
STEINMAN, H., SCHREYÖGG, G. (1998). Zarządzanie. Podstawy kierowania przedsiębiorstwem. Koncepcje, funkcje i przykłady. Wrocław: Oficyna Wydawnicza Politechniki Wrocławskiej.
ZHU, N., ZHANG, D., WANG, W., LI, X., YANG, B., SONG, J. ET AL. (2020). A Novel Coronavirus from Patients with Pneumonia in China. New England Journal of Medicine.
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