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an efficient model to forecast the tourism demand. As a result, the accuracy of the conventional models is found to be … significantly boosted with the Fourier modification joined. In the empirical case study of international tourism demand in Taiwan … forecasting power. We further employ the model to provide the Taiwan’s tourism demand in 2013 so as to assist policy-makers and …
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Time series methods have been applied to forecast clinical data, such as daily patient number forecasting for emergency medical centers. However, the application of conventional time series models needs to meet the statistical assumptions, and not all models can be applied in all datasets. Most...
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In this study, we treat the seasonal variation in monthly time series in the context of the Western-European tourism … demand for Tunisia, by presenting different techniques of detection of seasonality and the parametric and non …
Persistent link: https://www.econbiz.de/10009762132
The purpose of this paper is to construct adequate seasonal ARIMA models, using Box-Jenkins methodology, and to implement them in order to forecast short run flows of tourist arrivals and tourist overnight stays in Montenegro. Time scope covers ten years, from 2001/01 to 2010/12, while twelve...
Persistent link: https://www.econbiz.de/10013104555
This study presents a multiple-input multiple-output (MIMO) approach for multi-step-ahead time series prediction with a Gaussian process regression (GPR) model. We assess the forecasting performance of the GPR model with respect to several neural network architectures. The MIMO setting allows...
Persistent link: https://www.econbiz.de/10012959523
capture and explain the patterns and the determinants of German tourism demand in Croatia.Design – The present study is based … development strategies, pricing strategies and tourism sector routing strategies in Croatia, as a predominantly tourism oriented …
Persistent link: https://www.econbiz.de/10013020167