摘要
采用统计学的方法,以某市脑卒中发病病例信息和当地四年的气象资料为依据,通过主成分分析方法,得出气象综合评估函数。利用Weibull分布的概率密度函数,建立脑卒中发病率与气象评估值的非线性回归模型,该模型经验证具有较好的拟合性。
Based on a city of stroke onset cases information and local four years of meteorological data, with princi- pal component analysis, the meteorological evaluation function is derived with the method of statistics. The inci- dence of stroke and meteorological assessment of the value of the non - linear regression model is established by u- sing Weibull distribution of the probability density function. It is proven to have a good fit.
出处
《兰州石化职业技术学院学报》
2013年第3期32-34,共3页
Journal of Lanzhou Petrochemical Polytechnic
基金
甘肃省教育厅资助项目(1015B-7)
关键词
主成分分析方法
WEIBULL分布
层次分析法
气象因素评估模型
principal component analysis methods
WeiBull distribution
analytic hierarchy process
assessment of meteorological factors and early warning model