Search Results - subject:"sarima Model"

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Forecasting PM10 caused by Bangkok's Leading Greenhouse Gas emission using the SARIMA and SARIMA-GARCH model

Tanattrin Bunnag - In: International Journal of Energy Economics and Policy : IJEEP 14 (2024) 1, pp. 418-426

Persistent link: https://www.econbiz.de/10014492207

Using trigonometric seasonal models in forecasting the size of withdrawals from automated teller machines

Gurgul, Henryk; Lach, Łukasz; Suder, Marcin; Szpyt, Karol - In: Entrepreneurial business and economics review : EBER 11 (2023) 3, pp. 181-204

withdrawals from ATMs. In practice, the SARIMA model is widely used as a forecasting tool. However, the major limitation of SARIMA … the SARIMA model with the TBATS model, both in basic forms and forms extended with event-specific dummies. Research Design … gives more accurate forecasts than the basic SARIMA model widely used in practice. Implications & Recommendations: The multi …

Persistent link: https://www.econbiz.de/10014429270

Does future tuna landing stock meet the target? : forecasting tuna landing in Malaysia using seasonal ARIMA model

Aslina Nasir; Yeny Nadira Kamaruzzaman - In: International journal of social economics 51 (2024) 11, pp. 1434-1449

Persistent link: https://www.econbiz.de/10015198719

Using trigonometric seasonal models in forecasting the size of withdrawals from automated teller machines

Gurgul, Henryk; Lach, Łukasz; Suder, Marcin; Szpyt, Karol - In: Entrepreneurial Business and Economics Review (EBER) 11 (2023) 3, pp. 181-204

Persistent link: https://www.econbiz.de/10015576253

Modelling tourism demand volatility using a seasonal autoregressive integrated moving average autoregressive conditional heteroscedasticity model for Victoria Falls Rainforest arrivals in Zimbabwe

Makoni, Tendai; Chikobvu, Delson - In: Journal of economic and financial sciences : JEF 11 (2018) 1, pp. 1-9

Persistent link: https://www.econbiz.de/10012017426

Does future tuna landing stock meet the target? Forecasting tuna landing in Malaysia using seasonal ARIMA model

Aslina Nasir; Kamaruzzaman, Yeny Nadira - In: International Journal of Social Economics 51 (2024) 11, pp. 1434-1449

Purpose This study was conducted to forecast the monthly number of tuna landings between 2023 and 2030 and determine whether the estimated number meets the government’s target. Design/methodology/approach The ARIMA and seasonal ARIMA (SARIMA) models were employed for time series forecasting of...

Persistent link: https://www.econbiz.de/10015347306

The disruptive impact of COVID-19 on air transportation : an ITS econometric analysis

Andreana, Gianmarco; Gualini, Andrea; Martini, Gianmaria; … - In: Research in transportation economics 90 (2021), pp. 1-17

Persistent link: https://www.econbiz.de/10013185910

Forecasting extreme seasonal tourism demand : the case of Rishiri Island in Japan

Elamin, Niematallah; Fukushige, Mototsugu - In: Asia-Pacific journal of regional science 2 (2018) 2, pp. 279-296

Persistent link: https://www.econbiz.de/10012040215

Forecasting of Hong Kong airport's passenger throughput

Tsui, Wai Hong Kan; Balli, Hatice Ozer; Gilbey, Andrew; … - In: Tourism management : research, policies, practice 42 (2014), pp. 62-76

Persistent link: https://www.econbiz.de/10010354152

Appropriate tools of Marketing Information System for Citrus Crop in the Lattakia Region, R. A. SYRIA

Sulaiman, H.; Malec, K.; Maitah, M. - In: AGRIS on-line Papers in Economics and Informatics 6 (2014) 3

SARIMA model were tested for citrus wholesale prices prediction at Lattakia market in the paper. SARIMA model was applied on … SARIMA model (2,1,0) (1,0,1)12 is suitable for seasonal prices prediction. This method is suitable to be part of AMIS. The …

Persistent link: https://www.econbiz.de/10011142395