Predictive modeling of pelagic fish catch in Malaysia using seasonal ARIMA models
Fish catch prediction is an important problem in the fisheries sector and has a long history of research. The main goal of this paper is to create a model and make predictions using fish catch data of two fish species. Among the most effective and prominent approaches for analyzing time series data...
Main Authors: | Bako, Hadiza Yakubu, Rusiman, Mohd Saifullah, Kane, Ibrahim Lawal, Matias-Peralta, Hazel Monica |
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Format: | Article |
Published: |
Science Publishing Group
2013
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Subjects: | |
Online Access: | doi:10.11648/j.aff.20130203.13 doi:10.11648/j.aff.20130203.13 http://eprints.uthm.edu.my/9374/1/J1867_100d4e8b78049ffa439f8d5c1f8b9d3a.pdf |
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