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Application of Robust Regression Model on Freshwater Fish Data
Norfaziana Binti Zakaria
Supervisor: Assoc. Prof. Dr. Norizan Binti Mohamed
Bachelor of Science (Financial Mathematics)
School of Informatics and Applied Mathematics
Freshwater fish culture in aquaculture industry is growing rapidly in the Asian region,
including Malaysia. Freshwater fish culture is growing as one of the foodstuffs and a
source of income to the country. Research in this field was carried out to add the findings
of the use of fishery data in mathematics. The data used is freshwater fish data from
Official Portal of Malaysia Fisheries Department. The data was selected from 1965 until
2015. In this study, the M, MM, S and LTS of regression estimator were used to detect
outliers are present in the available data sample. The comparison between estimators of
robust regression performed to get the best robust estimator and to build the best model.
Then, the data was contaminated to determine the robustness of the model. The result
showed that the model is robust even though the data was contaminated.
849 | UMT UNDERGRADUATE RESEARCH DAY 2018