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Improving the Accuracy of Primary Productivity from Satellite Imaginary
(MODIS) using Hybrid Partial L-Moment and Bootstrap Method in Kuala
Terengganu Offshore, Terengganu, Malaysia.
Nor Arine Binti Ab.Rahman
Supervisor: Assoc. Prof. Dr. Muhamad Safiih Bin Lola
Bachelor of Science (Computational Mathematics)
School of Informatics and Applied Mathematics
The use of Vertical Generalized Production Model (VGPM) is exposed to larger error value,
which may affect the accuracy of the results. Therefore, this project attempts to hybridize
bootstrap approach with Partial L-Moment to obtain accurate estimation results. The
proposed model is applied to the data from the satellite imaginary (MODIS) in Setiu. The
findings indicate that the Partial L-Moment with bootstrap approach is the best model
compared to the Vertical Generalized Production Model since the error produced are
smaller. This shows that the proposed model is best to use in the measurement. It can
be concluded that the application of Partial L-Moment with bootstrap method is very
useful to provide more accurate decisions. Therefore, the measurements obtained may
provide useful information for policy makers and researchers in the field of marine.
964 | UMT UNDERGRADUATE RESEARCH DAY 2018