Comparison of six statistical approaches in the selection of appropriate fish growth models |
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Authors: | Lixin Zhu Lifang Li Zhenlin Liang |
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Institution: | [1]Marine College, Shandong University at Weihai, Weihai 264209, China [2]Fisheries College, Ocean University of China, Qingdao 266003, China |
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Abstract: | The performance of six statistical approaches,which can be used for selection of the best model to describe the growth of individual fish,was analyzed using simulated and real length-at-age data.The six approaches include coefficient of determination(R2),adjusted coefficient of determination(adj.-R2),root mean squared error(RMSE),Akaike's information criterion(AIC),bias correction of AIC(AICc) and Bayesian information criterion(BIC).The simulation data were generated by five growth models with different num... |
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Keywords: | growth model model selection statistical approach Akaike's information criterion Bayesian information criterion |
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