核平滑法在区域人口死亡率分析中的应用

G. Rapakov, V. Gorbunov, D. Zaripova
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引用次数: 0

摘要

本文介绍了基于核心函数和核平滑的概率分布密度一维估计方法在肿瘤病理患者队列死亡风险分析问题中的研究结果。我们使用了10年的医学和社会学监测数据。利用Epanechnikov核函数的核平滑方法估计瞬时风险函数,使平均单次二次误差最小化。作者给出了依赖关系图。所开发的方法被应用于支持市政积极长寿概念中的管理决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of nuclear smoothing methods in the analysis of regional population mortality
The article presents the results of a study of methods for one-dimensional estimation of probability distribution density based on core function and nuclear smoothing in the problem of mortality risk analysis for a cohort of patients with oncopathology. We used data from medical and sociological monitoring for 10 years of observation. As a result, the instantaneous risk function is estimated using the nuclear smoothing method using the Epanechnikov core function, which minimizes the average single quadratic error. The authors presented dependency graphs. The developed approach is applied to support management decisions in the municipal concept of active longevity.
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