Comparing linear and bilinear models on water level for the Kelantan river in Malaysia

Slirveyed from 160 time series data used in scientific articles concluded that 10-13% of them were generated by the nonlinear process. Several nonlinear models are available but only the bilinear model will be considered here. The bilinear model is basically an extension of the linear model ARIMA...

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Main Authors: Azami Zaharim, Mohd Sahar Yahya, Ibrahim Mohamed, Abdul Halim Ismail, Zuhairuse Md Darus, Zulkifli Mohd Nopiah
Format: Article
Published: 2005
Online Access:http://journalarticle.ukm.my/1431/
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author Azami Zaharim,
Mohd Sahar Yahya,
Ibrahim Mohamed,
Abdul Halim Ismail,
Zuhairuse Md Darus,
Zulkifli Mohd Nopiah,
author_facet Azami Zaharim,
Mohd Sahar Yahya,
Ibrahim Mohamed,
Abdul Halim Ismail,
Zuhairuse Md Darus,
Zulkifli Mohd Nopiah,
author_sort Azami Zaharim,
building UKM Institutional Repository
collection Online Access
description Slirveyed from 160 time series data used in scientific articles concluded that 10-13% of them were generated by the nonlinear process. Several nonlinear models are available but only the bilinear model will be considered here. The bilinear model is basically an extension of the linear model ARIMA. It was first introduced by control theorists in 1972 before it was documented by Granger and Anderson in 1978. The bilinear model is believed to be able to fit hydrological and meteorological data well. In this paper; the coefficients of a special case of bilinear model, BL(1,1,1,1), are estimated using nonlinear least squares method. Results of modeling the linear and bilinear models on water level data from the Kelantan river in Malaysia when compared and evaluated gave better fitting to the bilinear model
first_indexed 2025-11-14T23:16:07Z
format Article
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institution Universiti Kebangasaan Malaysia
institution_category Local University
last_indexed 2025-11-14T23:16:07Z
publishDate 2005
recordtype eprints
repository_type Digital Repository
spelling ukm-14312011-10-11T03:45:24Z http://journalarticle.ukm.my/1431/ Comparing linear and bilinear models on water level for the Kelantan river in Malaysia Azami Zaharim, Mohd Sahar Yahya, Ibrahim Mohamed, Abdul Halim Ismail, Zuhairuse Md Darus, Zulkifli Mohd Nopiah, Slirveyed from 160 time series data used in scientific articles concluded that 10-13% of them were generated by the nonlinear process. Several nonlinear models are available but only the bilinear model will be considered here. The bilinear model is basically an extension of the linear model ARIMA. It was first introduced by control theorists in 1972 before it was documented by Granger and Anderson in 1978. The bilinear model is believed to be able to fit hydrological and meteorological data well. In this paper; the coefficients of a special case of bilinear model, BL(1,1,1,1), are estimated using nonlinear least squares method. Results of modeling the linear and bilinear models on water level data from the Kelantan river in Malaysia when compared and evaluated gave better fitting to the bilinear model 2005 Article PeerReviewed Azami Zaharim, and Mohd Sahar Yahya, and Ibrahim Mohamed, and Abdul Halim Ismail, and Zuhairuse Md Darus, and Zulkifli Mohd Nopiah, (2005) Comparing linear and bilinear models on water level for the Kelantan river in Malaysia. Jurnal Kejuruteraan, 17 . http://www.ukm.my/jkukm/index.php/jkukm
spellingShingle Azami Zaharim,
Mohd Sahar Yahya,
Ibrahim Mohamed,
Abdul Halim Ismail,
Zuhairuse Md Darus,
Zulkifli Mohd Nopiah,
Comparing linear and bilinear models on water level for the Kelantan river in Malaysia
title Comparing linear and bilinear models on water level for the Kelantan river in Malaysia
title_full Comparing linear and bilinear models on water level for the Kelantan river in Malaysia
title_fullStr Comparing linear and bilinear models on water level for the Kelantan river in Malaysia
title_full_unstemmed Comparing linear and bilinear models on water level for the Kelantan river in Malaysia
title_short Comparing linear and bilinear models on water level for the Kelantan river in Malaysia
title_sort comparing linear and bilinear models on water level for the kelantan river in malaysia
url http://journalarticle.ukm.my/1431/
http://journalarticle.ukm.my/1431/