空气污染与呼吸疾病的半参数统计分析
Semi-Parametric Statistical Analysis of Air Pollution and Respiratory Diseases
DOI: 10.12677/SA.2018.71005, PDF, HTML, XML, 下载: 1,656  浏览: 3,881  国家自然科学基金支持
作者: 赵彦勇*, 刘原, 姚志扬：南京审计大学，统计科学与大数据研究院，江苏 南京；郝红霞：东南大学，数学学院，江苏 南京
关键词: 空气污染；呼吸疾病；部分线性模型；Air Pollution； Respiratory Diseases； Partially Linear Models
摘要: 本文基于主成分降维方法和部分线性模型研究了香港地区的空气污染和呼吸疾病之间的关系。实证分析中通过与线性模型和带时间趋势的线性模型的对比研究，发现所提出的方法在预测效果上更加准确，并且香港地区的空气污染与呼吸疾病之间存在非线性关系。
Abstract: The article mainly focuses on the relationship between the air pollution and diseases in respiratory system in Hong Kong based on the principal component dimensionality reduction method and partially linear models. In the empirical analysis, by comparing with the linear model and linear model with time, we find that the proposed method has a better predictive effect and the relationship between air pollution and respiratory diseases in Hong Kong is nonlinear.
文章引用：赵彦勇, 刘原, 郝红霞, 姚志扬. 空气污染与呼吸疾病的半参数统计分析[J]. 统计学与应用, 2018, 7(1): 32-38. https://doi.org/10.12677/sa.2018.71005

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