Time Series Analysis

Cang, Shuang and Seetaram, Neelu (2012) Time Series Analysis. In: Handbook of Research Methods in Tourism. Edward Elgar Publishing Ltd., pp. 47-70. ISBN 9781781001288

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Official URL: http://dx.doi.org/10.4337/9781781001295.00009


The aim of this chapter is to review the application of time series analysis and modelling in the tourism literature. Note that there exists a vast number of such techniques which have been employed to analyse tourism data. It is beyond the scope of this chapter to discuss all. This chapter instead focuses on the most widely applied methods within the tourism context. It is made up of three distinct sections. In the first section the characteristics of time series data are discussed. The second section concentrates on the 'classic' time series modelling techniques. The last section discusses directions for new research and focuses on approaches which are fairly recent such as neural networks models which may be expected to become more extensively utilized by tourism researchers in the near future.

Item Type: Book Section
Subjects: L100 Economics
N800 Tourism, Transport and Travel
Department: Faculties > Business and Law > Newcastle Business School
Depositing User: Paul Burns
Date Deposited: 20 Dec 2018 15:14
Last Modified: 19 Nov 2019 09:51
URI: http://nrl.northumbria.ac.uk/id/eprint/37398

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