Forecasting tourism demand by fuzzy time series models-Reference-Cited by-同舟云学术

Forecasting tourism demand by fuzzy time series models

Published:2012-10-05 Issue:4 Volume:6 Page:377-388
ISSN:1750-6182
Container-title:International Journal of Culture, Tourism and Hospitality Research
language:en
Short-container-title:Int J Culture Tourism Hosp Res

Author:

Huarng Kun‐Huang,Hui‐Kuang Yu Tiffany,Moutinho Luiz,Wang Yu‐Chun

Publisher

Emerald

Subject

Tourism, Leisure and Hospitality Management,Geography, Planning and Development

Reference42 articles.

1. Andrew, W.P., Crange, D.A. and Lee, C.K. (1990), “Forecasting hotel occupancy rates with time series models: an empirical analysis”,Hospitality Research Journal, Vol. 14, pp. 173‐81.

2. Time Series Forecasting Techniques: Short‐term Planning in Tourism

3. A practitioners guide to time-series methods for tourism demand forecasting — a case study of Durban, South Africa

4. Estimation of Caribbean tourism demand: Issues in measurement and methodology

5. Forecasting enrollments based on fuzzy time series

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