Journal of Applied Biological Sciences

Journal of Applied Biological Sciences

A comparison of weighted least square estimation and ordinary least square estimation for analysing weight-length relationship of Por’s Goatfish (Upeneus pori Ben-Tuvia & Golani, 1989) in Iskenderun bay

Yazarlar: Mustafa AKAR, Sedat GÜNDOĞDU

Cilt 7 , Sayı 3 , 2013 , Sayfalar 46-50

Konular:-

Anahtar Kelimeler:Weighted Least Square,Ordinary Least Square,Upeneus pori,Population Dynamics

Özet: 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.

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@article{2013, title={A comparison of weighted least square estimation and ordinary least square estimation for analysing weight-length relationship of Por’s Goatfish (Upeneus pori Ben-Tuvia & Golani, 1989) in Iskenderun bay}, volume={7}, number={46–50}, publisher={Journal of Applied Biological Sciences}, author={Mustafa AKAR, Sedat GÜNDOĞDU}, year={2013} }
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Mustafa AKAR, Sedat GÜNDOĞDU. (2013). A comparison of weighted least square estimation and ordinary least square estimation for analysing weight-length relationship of Por’s Goatfish (Upeneus pori Ben-Tuvia & Golani, 1989) in Iskenderun bay (Vol. 7). Vol. 7. Journal of Applied Biological Sciences.
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Mustafa AKAR, Sedat GÜNDOĞDU. A Comparison of Weighted Least Square Estimation and Ordinary Least Square Estimation for Analysing Weight-Length Relationship of Por’s Goatfish (Upeneus Pori Ben-Tuvia & Golani, 1989) in Iskenderun Bay. no. 46–50, Journal of Applied Biological Sciences, 2013.
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