Non-linear models for tourism demand forecasting
Year of publication: |
May 2017
|
---|---|
Authors: | Saayman, Andrea ; Botha, Ilsé |
Published in: |
Tourism economics : the business and finance of tourism and recreation. - London : Sage, ISSN 1354-8166, ZDB-ID 1417753-5. - Vol. 23.2017, 3, p. 594-613
|
Subject: | basic structural model (BSM) | SARIMA | spectrum analysis | STAR | tourism forecasting | Tourismus | Tourism | Prognoseverfahren | Forecasting model | Zeitreihenanalyse | Time series analysis | Theorie | Theory | Nachfrage | Demand | Nichtlineare Regression | Nonlinear regression |
-
Forecasting tourism demand using search query data : a hybrid modelling approach
Wen, Long, (2019)
-
A novel approach to model selection in tourism demand modeling
Akın, Melda, (2015)
-
Forecasting extreme seasonal tourism demand : the case of Rishiri Island in Japan
Elamin, Niematallah, (2018)
- More ...
-
Direct Versus Indirect Forecasting of the Defined Real Exchange Rate of South Africa
Pretorius, Marinda, (2010)
-
Happy in the informal economy? : a case study of well-being among day labourers In South Africa
Blaauw, Philip, (2013)
-
The explanatory power of the yield curve in predicting recessions in South Africa
Mohapi, Tjhaka Alphons, (2013)
- More ...