Using the monthly statistics of tourists from four different origins (America, Europe, Asia and Oceania) among seven places in the Asia Pacific region for a period from January 1991 to December 2005, we investigate these 28 time series using the Holt-Winters method, artificial neural network and numerical graphical plots. Interesting comparisons on level fluctuations, trends and seasonal patterns of the time series among the Asia Pacific region are explored. These findings enable us to understand more about the temporal aspect of tourism demand in the Asia Pacific region. In sum, this paper lays out the importance of understanding the trend and seasonality indices in details.Department of Management and Marketin
Focusing on the tourism in Japan, this paper examined the seasonality of tourism demand in Japan by...
The tourism seasonality expressed by fluctuated number of visitors to a destination is affected by v...
Analyzing tourism demand cycles is of strong interest to researchers and forecasters. However, often...
Seasonality in tourism, like the same phenomenon in other business sectors, creates stresses on cons...
Tourism is characterized by seasonal patterns that provoke substantial implications on tourism devel...
The purpose of the paper is to analyse seasonal changes in tourism demand by New Zealand's major tou...
Rapid economic growth in South-East and East Asia has seen a surge in tourist arrivals from this reg...
The purpose of the paper is to analyse seasonal changes in tourism demand by New Zealand's majo...
Even though tourism has been recognized as one of the key sectors for the Thai economy, internationa...
In this paper two popular time series methods for modeling seasonality in tourism forecasts are comp...
The aim of this chapter is to review the application of time series analysis and modelling in the to...
Tourism seasonality is generally seen as a problem for most of the main destinations in the world, p...
Tourism research is replete with applications of univariate time-series decomposition techniques: mu...
This study examines the demand for Thai tourism by seven major origin countries – Australia, Japan, ...
This paper aims to analyse the seasonality in New Zealand tourism demand from Australia and the USA ...
Focusing on the tourism in Japan, this paper examined the seasonality of tourism demand in Japan by...
The tourism seasonality expressed by fluctuated number of visitors to a destination is affected by v...
Analyzing tourism demand cycles is of strong interest to researchers and forecasters. However, often...
Seasonality in tourism, like the same phenomenon in other business sectors, creates stresses on cons...
Tourism is characterized by seasonal patterns that provoke substantial implications on tourism devel...
The purpose of the paper is to analyse seasonal changes in tourism demand by New Zealand's major tou...
Rapid economic growth in South-East and East Asia has seen a surge in tourist arrivals from this reg...
The purpose of the paper is to analyse seasonal changes in tourism demand by New Zealand's majo...
Even though tourism has been recognized as one of the key sectors for the Thai economy, internationa...
In this paper two popular time series methods for modeling seasonality in tourism forecasts are comp...
The aim of this chapter is to review the application of time series analysis and modelling in the to...
Tourism seasonality is generally seen as a problem for most of the main destinations in the world, p...
Tourism research is replete with applications of univariate time-series decomposition techniques: mu...
This study examines the demand for Thai tourism by seven major origin countries – Australia, Japan, ...
This paper aims to analyse the seasonality in New Zealand tourism demand from Australia and the USA ...
Focusing on the tourism in Japan, this paper examined the seasonality of tourism demand in Japan by...
The tourism seasonality expressed by fluctuated number of visitors to a destination is affected by v...
Analyzing tourism demand cycles is of strong interest to researchers and forecasters. However, often...