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Using Skew-Logistic Probability Density Function as a Model for Age-Specific Fertility Rate Pattern

机译:使用偏态逻辑概率密度函数作为特定年龄的生育率模式的模型

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Fertility rate is one of the most important global indexes. Past researchers found models which fit to age-specific fertility rates. For example, mixture probability density functions have been proposed for situations with bi-modal fertility patterns. This model is less useful for unimodal age-specific fertility rate patterns, so a model based on skew-symmetric (skew-normal) pdf was proposed by Mazzuco and Scarpa (2011) which was flexible for unimodal and bimodal fertility patterns. In this paper, we introduce skew-logistic probability density function as a better model: its residuals are less than those of the skew-normal model and it can more precisely estimate the parameters of the model.
机译:生育率是最重要的全球指标之一。过去的研究人员发现了适合特定年龄生育率的模型。例如,已经针对具有双峰育性模式的情况提出了混合概率密度函数。该模型对于单峰特定年龄的生育率模式没有多大用处,因此Mazzuco和Scarpa(2011)提出了一种基于歪斜对称(偏正态)pdf的模型,该模型对于单峰和双峰生育率模式具有灵活性。在本文中,我们介绍了偏逻辑概率密度函数作为更好的模型:其残差小于偏正态模型的残差,并且可以更精确地估计模型的参数。

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