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首页> 外文期刊>Indian Journal of Fisheries >Fitting of von Bertalanffy growth model: Stochastic differential equation approach
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Fitting of von Bertalanffy growth model: Stochastic differential equation approach

机译:von Bertalanffy生长模型的拟合:随机微分方程方法

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摘要

In this paper, the well-known von Bertalanffy growth (VBG) model for estimating age-length relationship in fisheries is considered. It is emphasised that nonlinear estimation procedures should be adopted for fitting the von Bertalanffy nonlinear statistical (VBNS) model rather than the age-old Ford-Walford plot. Some limitations of employing VBNS modelling approach are highlighted. Employment of stochastic differential equation (SDE) approach, which does not suffer from these limitations, is advocated for fitting the VBG model. The methodology for fitting the von Bertalanffy SDE (VBSDE) model is described. Relevant computer code for fitting this model is written in SAS package and the same is included as an Appendix. Finally, as an illustration, superiority of VBSDE model over VBNS model for fitting and forecasting purposes is shown for rainbow trout (Onchorhynchus mykiss) age-length data.
机译:本文认为,考虑了用于估算渔业年龄长度关系的众所周知的Von Bertalanffy生长(VBG)模型。 强调,应采用非线性估计程序,用于拟合Von Bertalanffy非线性统计(VBNS)模型而不是古老的Ford-Walford Plot。 突出显示使用VBNS建模方法的一些限制。 倡导随机微分方程(SDE)方法的就业,以拟合VBG模型。 描述了用于拟合VON Bertalanffy SDE(VBSDE)模型的方法。 用于拟合此模型的相关计算机代码是用SAS包编写的,也包含作为附录。 最后,作为一个插图,彩虹鳟鱼(onchorhynchus mykiss)年龄长度数据显示了拟合和预测目的VBSDE模型的优越性。

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