AKAR M. , GÜNDOĞDU S.
JOURNAL OF APPLIED BIOLOGICAL SCIENCES, vol.7, no.3, pp.46-50, 2013 (Refereed Journals of Other Institutions)
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Publication Type:
Article / Article
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Volume:
7
Issue:
3
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Publication Date:
2013
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Title of Journal :
JOURNAL OF APPLIED BIOLOGICAL SCIENCES
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Page Numbers:
pp.46-50
Abstract
A weighted least square (WLS) and ordinary least square (OLS) approach for analysing fish length-weight relationships, was applied. We reviewed and compared two regression methods used in statistics to reconstruct length-weight relationship from Por’s Goatfish (Upeneus pori Ben-Tuvia & Golani, 1989) length-weight data in Iskenderun Bay. This comparison relies on a suite of
regression model verification statistics to validate the accuracy of the length-weight relationship produced by the best model. The results indicate WLS may perform slightly better in heteroscedastic data; conversely, OLS may perform slightly better when the data is homoscedastic