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A unified expression of Gompertz and logistic curves and its discretization

机译:Gompertz和Logistic曲线的统一表示及其离散化

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摘要

In this study, we newly propose a generalized growth curve model of discrete type, which is based on the property of the Gompertz and logistic curve models. In particular, the bi-linearization technique is applied to the basic differential equation, and we discretize it to the difference equations so as to hold the property of integrable systems. These models can be used to predict the future behavior of the time series data by estimating the constant parameters included in the model. In the numerical examples, we analyze the actual data sets by using our model, and also we show the confidence intervals of the estimated growth curve via the bootstrap method.
机译:在这项研究中,我们基于Gompertz和Logistic曲线模型的性质,提出了一种离散类型的广义增长曲线模型。特别地,双线性化技术被应用于基本微分方程,并且我们将其离散化为微分方程,以保持可积系统的性质。这些模型可用于通过估计模型中包含的常量参数来预测时间序列数据的未来行为。在数值示例中,我们使用模型分析实际数据集,并通过自举方法显示估计的增长曲线的置信区间。

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