Research Repository

Comparing Univariate Forecasting Techniques Using Tourism Data to and from Japan

Fernando, Hubert Preman and Turner, Lindsay W (2004) Comparing Univariate Forecasting Techniques Using Tourism Data to and from Japan. In: APTA 2004 : Globalisation and tourism research : east meets west : Proceedings of the 10th Asia Pacific Tourism Association Annual Conference 2004. Chon, K and Hsu, C. H. C and Okamoto, N, eds. Asia Pacific Tourism Association Conference . Asia Pacific Tourism Association, Nagasaki, Japan , pp. 230-235.

Full text for this resource is not available from the Research Repository.

Abstract

This paper compares the neural network model, the autoregressive integrated moving average model, the basic structural model and the naïve model in forecasting tourist arrivals to Japan from Australia, Korea and USA. Univariate forecasts are made for total tourism flows to Japan. The criterion for comparison of the models is forecasting accuracy during an out of sample period of 36 months. The multilayer perceptron neural network model using a connectionist network outperformed other forecasting models in most cases and was consistent in short, medium and long term forecasting.

Item Type: Book Section
ISBN: 4990203402
Additional Information:

Book title variation: Proceedings of Asia Pacific Tourism Association Tenth Annual Conference

Uncontrolled Keywords: ResPubID7080, tourism, forecasting
Subjects: Faculty/School/Research Centre/Department > School of Economics and Finance
FOR Classification > 1401 Economic Theory
FOR Classification > 1506 Tourism
Depositing User: VUIR
Date Deposited: 25 Jan 2014 06:06
Last Modified: 25 Jan 2014 06:06
URI: http://vuir.vu.edu.au/id/eprint/5379
ePrint Statistics: View download statistics for this item

Repository staff only

View Item View Item

Search Google Scholar