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使用偏态逻辑斯蒂概率密度函数作为特定年龄生育率模式的模型。

Using skew-logistic probability density function as a model for age-specific fertility rate pattern.

作者信息

Asili Sahar, Rezaei Sadegh, Najjar Lotfollah

机构信息

Department of Statistics, Amirkabir University of Technology, Tehran 15875-4413, Iran.

College of Information Science Technology, University of Nebraska-Omaha, Omaha, NE 68182, USA.

出版信息

Biomed Res Int. 2014;2014:790294. doi: 10.1155/2014/790294. Epub 2014 May 21.

Abstract

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.

摘要

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用于特定年龄生育率的模型。例如,对于具有双峰生育模式的情况,已经提出了混合概率密度函数。该模型对于单峰特定年龄生育率模式不太有用,因此马祖科和斯卡帕(2011年)提出了一种基于偏对称(偏正态)概率密度函数的模型,该模型对于单峰和双峰生育模式都具有灵活性。在本文中,我们引入偏逻辑斯蒂概率密度函数作为一个更好的模型:它的残差小于偏正态模型的残差,并且它可以更精确地估计模型参数。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c7fb/4055447/36a86bd801e0/BMRI2014-790294.001.jpg

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