Fishery Landing Forecasting Using Wavelet-Based Autoregressive Integrated Moving Average Models
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-07-16
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
The accuracy of the wavelet-ARIMA (WA) model in monthly fishery landing forecasting is investigated in the study.
In the first part of the study, the discrete wallet transform (DWT) is used to decompose fishery landing time series data.
Then ARIMA, as a powerful forecasting tool, is implemented to predict each wavelet transform subseries components independently.
Finally, the prediction results of the modeled subseries components are summed to formulate an ensemble forecast for the original fishery landing series.
To assess the effectiveness of this model, monthly fishery landing recorded data from East Johor and Pahang states of Peninsular Malaysia have been used as a case study.
The result of the study shows that the proposed model was found to provide more accurate fishery landing series forecasts than the individual ARIMA model.
American Psychological Association (APA)
Shabri, Ani& Samsudin, Ruhaidah. 2015. Fishery Landing Forecasting Using Wavelet-Based Autoregressive Integrated Moving Average Models. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1075219
Modern Language Association (MLA)
Shabri, Ani& Samsudin, Ruhaidah. Fishery Landing Forecasting Using Wavelet-Based Autoregressive Integrated Moving Average Models. Mathematical Problems in Engineering No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1075219
American Medical Association (AMA)
Shabri, Ani& Samsudin, Ruhaidah. Fishery Landing Forecasting Using Wavelet-Based Autoregressive Integrated Moving Average Models. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1075219
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1075219