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Time series behaviour of the number of Air Asia passengers: a distributional approach

The common practice to time series analysis is by fitting a model and then further analysis is conducted on the residuals. However, if we know the distributional behavior of time series, the analyses in model identification, parameter estimation, and model checking are more straightforward. In this...

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Main Authors: Asrah, N. M., Djauhari, M. A.
Format: Conference or Workshop Item
Published: 2013
Subjects:
Q Science
Online Access:http://eprints.utm.my/id/eprint/51374/
http://dx.doi.org/10.1063/1.4823977
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spelling my.utm.513742017-09-18T01:50:36Z http://eprints.utm.my/id/eprint/51374/ Time series behaviour of the number of Air Asia passengers: a distributional approach Asrah, N. M. Djauhari, M. A. Q Science The common practice to time series analysis is by fitting a model and then further analysis is conducted on the residuals. However, if we know the distributional behavior of time series, the analyses in model identification, parameter estimation, and model checking are more straightforward. In this paper, we show that the number of Air Asia passengers can be represented as a geometric Brownian motion process. Therefore, instead of using the standard approach in model fitting, we use an appropriate transformation to come up with a stationary, normally distributed and even independent time series. An example in forecasting the number of Air Asia passengers will be given to illustrate the advantages of the method. 2013 Conference or Workshop Item PeerReviewed Asrah, N. M. and Djauhari, M. A. (2013) Time series behaviour of the number of Air Asia passengers: a distributional approach. In: AIP Conference Proceedings. http://dx.doi.org/10.1063/1.4823977
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic Q Science
spellingShingle Q Science
Asrah, N. M.
Djauhari, M. A.
Time series behaviour of the number of Air Asia passengers: a distributional approach
description The common practice to time series analysis is by fitting a model and then further analysis is conducted on the residuals. However, if we know the distributional behavior of time series, the analyses in model identification, parameter estimation, and model checking are more straightforward. In this paper, we show that the number of Air Asia passengers can be represented as a geometric Brownian motion process. Therefore, instead of using the standard approach in model fitting, we use an appropriate transformation to come up with a stationary, normally distributed and even independent time series. An example in forecasting the number of Air Asia passengers will be given to illustrate the advantages of the method.
format Conference or Workshop Item
author Asrah, N. M.
Djauhari, M. A.
author_facet Asrah, N. M.
Djauhari, M. A.
author_sort Asrah, N. M.
title Time series behaviour of the number of Air Asia passengers: a distributional approach
title_short Time series behaviour of the number of Air Asia passengers: a distributional approach
title_full Time series behaviour of the number of Air Asia passengers: a distributional approach
title_fullStr Time series behaviour of the number of Air Asia passengers: a distributional approach
title_full_unstemmed Time series behaviour of the number of Air Asia passengers: a distributional approach
title_sort time series behaviour of the number of air asia passengers: a distributional approach
publishDate 2013
url http://eprints.utm.my/id/eprint/51374/
http://dx.doi.org/10.1063/1.4823977
_version_ 1643653021479993344
score 13.244368

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