人口函数的数据处理方法及其抗差估计的应用

为了提高人口数据分析和函数模型预测的可靠性,本文分别从纯化人口统计数据和合理选择拟合函数两个方面讨论了提高人口函数拟合质量的途经。在人口数据处理和函数拟合中引入了抗差估计理论,增强了人口函数的抗干扰的能力。对人口拟合函数作了一些特殊处理,提高了函数的拟合度。所得结果的精度和可靠性优于传统的人口数据处理方法。

Approaches for Population Data Processing and Application of Robust Estimation to Simulating the Population Models

In order to improve the reliability of population data analysis and the prediction of population models, this paper presents various methods for enhancing the quality of simulation of the population functions based on cleaning statistic data and selecting suitable, mathematical functions. The introduction of robust estimators to data processing and simulation could strengthen the resistance of the population models against outliers or gross errors. The accuracy of the simulation could be improved by choosing proper mathematical functions. The research in this article shows that the accuracy and reliability of population models derived from the suggested methods are better than classical approaches.