Search Results - subject:"Seasonal ARIMA"

Predicting the unemployment rate using autoregressive integrated moving average

Huruta, Andrian Dolfriandra - In: Cogent business & management 11 (2024) 1, pp. 1-21

. Using non-seasonal ARIMA (Autoregressive Integrated Moving Average) modeling, this study projected unemployment. It was …

Persistent link: https://www.econbiz.de/10014540210

An optimal forecasting method of passenger traffic in Greek coastal shipping

Sitzimis, Ioannis - In: International Journal of Business and Economic Sciences … 14 (2021) 3, pp. 72-87

and to seasonal ARIMA models. Findings: The analysis results show that in fourteen popular coastal routes Winters …

Persistent link: https://www.econbiz.de/10014434597

An optimal forecasting method of passenger traffic in Greek coastal shipping

Sitzimis, Ioannis - In: International journal of business and economic sciences … 14 (2021) 3, pp. 72-87

and to seasonal ARIMA models. Findings: The analysis results show that in fourteen popular coastal routes Winters …

Persistent link: https://www.econbiz.de/10012801977

Exploring the use of internet searches to predict unemployment in Trinidad and Tobago

Roopnarine, Karen A.; Spencer, Janelle D. - 2021

Persistent link: https://www.econbiz.de/10012802863

The forecasting on the orice of Bitcoin with the application of seasonal ARIMA model

Lee, Yao Xian; Chen, Chih Cheng - In: The empirical economics letters : a monthly … 18 (2019) 10, pp. 1029-1039

Persistent link: https://www.econbiz.de/10012318565

Total tourist arrival forecast: aggregation vs. disaggregation

WAN, Shui-Ki; WANG, Shin-Huei; WOO, Chi-Keung - Center for Operations Research and Econometrics (CORE), … - 2012

Total tourist arrivals are the sum of disaggregate subcomponent arrivals by country of origin. We use seven time-series models to assess whether the aggregate approach that directly forecasts the total tourist arrivals outperforms the disaggregate approach that produces the total arrival...

Persistent link: https://www.econbiz.de/10010927724

SARIMA models for forecasting call volume in emergency services

Gijo, E. V.; Balakrishna, N. - In: International journal of business excellence 10 (2016) 4, pp. 545-561

Persistent link: https://www.econbiz.de/10011666377

Forecasting tourist arrivals using origin country macroeconomics

Chatziantoniou, Ioannis; Degiannakis, Stavros; Eeckels, … - In: Applied economics 48 (2016) 25/27, pp. 2571-2585

Persistent link: https://www.econbiz.de/10011591374

Modelling the Currency in Circulation for the State of Qatar.

Balli, Faruk; Elsamadisy, Elsayed - Volkswirtschaftliche Fakultät, … - 2010

, namely the regression model and the seasonal ARIMA model using daily data. We found that seasonal ARIMA model performs better …

Persistent link: https://www.econbiz.de/10008869294

Comparing forecasts of Latvia's GDP using simple seasonal ARIMA models and direct versus indirect approach

Bušs, Ginters - Volkswirtschaftliche Fakultät, … - 2009

This paper contributes to the literature by comparing predictive accuracy of one-period real-time simple seasonal ARIMA …

Persistent link: https://www.econbiz.de/10005034369