This paper presents a time series forecasting method to predict of occupancy of all tourist accommodations for the Central Macedonia region. Official statistical data is used from the year 1990 up to 1999. We analyze the trend and the seasonality, and construct statistical models, using the Box – Jenkins approach. After a series of appropriate statistical tests, we choose the model whish has the best fit to our data. The prediction ability of the model is judged by taking after forecast of the last twelve observations of our time series and comparing them with the real data. Finally we predict the percentages of occupancy of accommodation in the specific region for the next two years. From this study it is obvious that the occupancy of all ...
Indonesia's economy is influenced by many factors, including the tourism sector. Through this touris...
Statistical data shows that the number of tourists and lodgings in Republic of Macedonia in the last...
In this paper two popular time series methods for modeling seasonality in tourism forecasts are comp...
The purpose of this paper is to construct adequate seasonal ARIMA models, using Box-Jenkins methodol...
In this paper two popular time series methods for modeling seasonality in tourism forecasts are comp...
This paper presents an application of some forecasting methods concerning sport tourism arrivals in ...
This paper presents an application of some forecasting methods concerning sport tourism arrivals in ...
The paper makes an attempt to provide estimation of foreign tourism demand by 2014, by investigating...
Foreigners ’ demand for hotel nights in Denmark by nationality are examined using monthly time serie...
The paper provides a short-run estimation of international tourism demand focusing on the case of FY...
The paper examines the forecasting accuracy of different forecasting techniques in modelling and for...
Abstract: Quantitative methods to forecasting tourist arrivals can be sub-divided into causal method...
We evaluate the performances of various methods for forecasting tourism data. The data used include ...
AbstractThe aim of this study is to provide non-linear forecasting models for prediction of the inte...
In the past twelve years Bulgaria has managed to capitalize on the good results achieved in certain ...
Indonesia's economy is influenced by many factors, including the tourism sector. Through this touris...
Statistical data shows that the number of tourists and lodgings in Republic of Macedonia in the last...
In this paper two popular time series methods for modeling seasonality in tourism forecasts are comp...
The purpose of this paper is to construct adequate seasonal ARIMA models, using Box-Jenkins methodol...
In this paper two popular time series methods for modeling seasonality in tourism forecasts are comp...
This paper presents an application of some forecasting methods concerning sport tourism arrivals in ...
This paper presents an application of some forecasting methods concerning sport tourism arrivals in ...
The paper makes an attempt to provide estimation of foreign tourism demand by 2014, by investigating...
Foreigners ’ demand for hotel nights in Denmark by nationality are examined using monthly time serie...
The paper provides a short-run estimation of international tourism demand focusing on the case of FY...
The paper examines the forecasting accuracy of different forecasting techniques in modelling and for...
Abstract: Quantitative methods to forecasting tourist arrivals can be sub-divided into causal method...
We evaluate the performances of various methods for forecasting tourism data. The data used include ...
AbstractThe aim of this study is to provide non-linear forecasting models for prediction of the inte...
In the past twelve years Bulgaria has managed to capitalize on the good results achieved in certain ...
Indonesia's economy is influenced by many factors, including the tourism sector. Through this touris...
Statistical data shows that the number of tourists and lodgings in Republic of Macedonia in the last...
In this paper two popular time series methods for modeling seasonality in tourism forecasts are comp...