Abstract We propose an extension of a parameter-free loss function for the estimation of Dynamic Energy Budget parameters for a set of related species that is symmetric in the role of data and predictions. The extension allows that particular parameters might vary, but not by much, among species, while the degree of variation is controlled by weight coefficients. We discuss the choice of these coefficients and illustrate the application with an example of two species of catfish, with their mutual hybrids. In our simultaneous parameter estimation for this example, we could reduce the variation in a parameter, here the energy conductance, substantially with a minor effect on the goodness of fit. We selected this parameter among the ones that varied, because its value was poorly determined by the data. We discuss this example in some detail. The software for implementing this augmented loss function has been implemented in the available software DEBtool_M on Github ( www.github.com/add-my-pet/DEBtool_M ).

中文翻译：

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使用增强损失函数估计动态能量预算参数

摘要 我们提出了一个无参数损失函数的扩展，用于估计一组相关物种的动态能量预算参数，该参数在数据和预测的作用中是对称的。扩展允许特定参数在物种之间可能变化，但变化不大，而变化程度由权重系数控制。我们讨论了这些系数的选择，并用两个鲶鱼品种的例子来说明应用，它们相互杂交。在我们对这个例子的同步参数估计中，我们可以减少参数的变化，这里是能量传导，对拟合优度的影响很小。我们在变化的参数中选择了这个参数，因为它的值很难由数据确定。我们将详细讨论这个例子。