Time series modelling and forecasting of Sarawak black pepper prices / Liew Khim Sen, Mahendran Shitan and Huzaimi Hussain
Pepper is an important agriculture commodity especially for the state of Sarawak. It is important to forecast its price, as this can help the policy makers in coming up with production and marketing plans to improve the Sarawak's economy as well as the farmers' welfare. In this paper, the...
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Universiti Teknologi MARA, Sarawak
2003
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uitm-115142015-03-16T04:13:49Z http://ir.uitm.edu.my/id/eprint/11514/ Time series modelling and forecasting of Sarawak black pepper prices / Liew Khim Sen, Mahendran Shitan and Huzaimi Hussain Liew, Khim Sen Shitan, Mahendran Huzaimi, Hussain Vegetables Pepper Pepper is an important agriculture commodity especially for the state of Sarawak. It is important to forecast its price, as this can help the policy makers in coming up with production and marketing plans to improve the Sarawak's economy as well as the farmers' welfare. In this paper, the time series models are used to forecast the Sarawak black pepper price. It is formally shown in this paper that the pepper price series does not follow a random shows that Autoregressive Moving Average (ARMA) time series models fit the price series well. The ARMA (1,0) model seems to be the best fitting model predicting the pepper price based on the data used in this study. Universiti Teknologi MARA, Sarawak 2003 Article PeerReviewed text en http://ir.uitm.edu.my/id/eprint/11514/1/AJ_LIEW%20KHIM%20SEN%20JAS%2003.pdf Liew, Khim Sen and Shitan, Mahendran and Huzaimi, Hussain (2003) Time series modelling and forecasting of Sarawak black pepper prices / Liew Khim Sen, Mahendran Shitan and Huzaimi Hussain. Jurnal Akademik UiTM Sarawak. pp. 39-55. ISSN 0128-2635 |
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Universiti Teknologi MARA |
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Vegetables Pepper |
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Vegetables Pepper Liew, Khim Sen Shitan, Mahendran Huzaimi, Hussain Time series modelling and forecasting of Sarawak black pepper prices / Liew Khim Sen, Mahendran Shitan and Huzaimi Hussain |
description |
Pepper is an important agriculture commodity especially for the state of Sarawak. It is important to forecast its price, as this can help the policy makers in coming up with production and marketing plans to improve the Sarawak's economy as well as the farmers' welfare. In this paper, the time series models are used to forecast the Sarawak black pepper price. It is formally shown in this paper that the pepper price series does not follow a random shows that Autoregressive Moving Average (ARMA) time series models fit the price series well. The ARMA (1,0) model seems to be the best fitting model predicting the pepper price based on the data used in this study. |
format |
Article |
author |
Liew, Khim Sen Shitan, Mahendran Huzaimi, Hussain |
author_facet |
Liew, Khim Sen Shitan, Mahendran Huzaimi, Hussain |
author_sort |
Liew, Khim Sen |
title |
Time series modelling and forecasting of Sarawak black pepper prices / Liew Khim Sen, Mahendran Shitan and Huzaimi Hussain |
title_short |
Time series modelling and forecasting of Sarawak black pepper prices / Liew Khim Sen, Mahendran Shitan and Huzaimi Hussain |
title_full |
Time series modelling and forecasting of Sarawak black pepper prices / Liew Khim Sen, Mahendran Shitan and Huzaimi Hussain |
title_fullStr |
Time series modelling and forecasting of Sarawak black pepper prices / Liew Khim Sen, Mahendran Shitan and Huzaimi Hussain |
title_full_unstemmed |
Time series modelling and forecasting of Sarawak black pepper prices / Liew Khim Sen, Mahendran Shitan and Huzaimi Hussain |
title_sort |
time series modelling and forecasting of sarawak black pepper prices / liew khim sen, mahendran shitan and huzaimi hussain |
publisher |
Universiti Teknologi MARA, Sarawak |
publishDate |
2003 |
url |
http://ir.uitm.edu.my/id/eprint/11514/ http://ir.uitm.edu.my/id/eprint/11514/1/AJ_LIEW%20KHIM%20SEN%20JAS%2003.pdf |
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2023-09-18T22:48:04Z |
last_indexed |
2023-09-18T22:48:04Z |
_version_ |
1777417359142682624 |