- 期刊
- OpenAccess
A Comparison of Methods Fitting von Bertalanffy Growth Curve
配合von Bertalanffy生長曲缐方法之比較
摘要
為了比較配合von Bertalanffy成長曲線的方法，首先囘顧三種方法：Ford-Walford-Chapman，Beverton，及Gauss-Newton，而後以三組數據：製造之數據，其簡略之數據，以及實際生物觀察之數據來測試這三種方法配合的適合性，適合性的判別為配合指標，總合機差平方，平均總合機差平方，及R^2.Gauss-Newton在測試三法中配合最好。若樣品數多且密集，則Food-Walford-Chapman法所估之介値可以接受，Beverton法則為一非科學性「試誤」的方法，並且不保證就能得到最佳配合，並以統計着眼進行討論。
關鍵字
無資料並列摘要
To compare the methods of fitting von Bertalanffy growth curve, three methods, namely, Ford-Walford-Chapman, Beverton, and Gauss-Newton method were first reviewed and three data sets: generated data, abbreviated generated data, and observed data were tested to compare the goodness of fit of these method. The criteria for the goodness of fit were Index of Fit, Sum of Square for Error, Average Sum of Square for Error, and Coefficient of Determination. The results showed that the Gauss-Newton method had the best fit among methods tested. The parameters estimated by Ford-Walford-Chapman method were acceptable if the coverage of samples was large and intensive. Beverton method was actually a non-scientific 'trial and error' method with no promise of obtaining the best fit. Discussion was also made along the statistical aspects.