| 疟疾发病率变化的非线性过程与曲线回归分析比较 |
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| 引用本文： | 杨倬.疟疾发病率变化的非线性过程与曲线回归分析比较[J].现代预防医学,2005,32(1):22-23,47. |
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| 作者姓名： | 杨倬 |
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| 作者单位： | 深圳市龙岗区卫生防疫站,深圳,518172 |
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| 摘 要： | 目的：利用非线性过程探讨疟疾发病规律。方法：对疟疾发病率曲线进行非线性过程的幂函数拟合，并与用曲线参数估计法的幂函数拟合结果进行对比。结果：利用非线性回归分析过程拟合幂函数模型为：Y=159．4350X^-1.7451，R^2=0．9967，预测精度高于用曲线参数估计法拟合的幂函数摸型(R^2=0．9581)。结论：非线性的幂函数拟合结果相对较优，能更好地分析与预测深圳市龙岗区疟疾发病情况。
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| 关 键 词： | 疟疾 发病率 曲线拟合 非线性过程 曲线回归分析 非线性拟合 |
| 文章编号： | 1003-8507(2005)01-0022-02 |
THE DIFFERENCE BETWEEN NON-LINEAR REGRESSION AND CURVE FITTING ANALYSIS ON INCIDENCE OF MALARIA |
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| YANG Zhuo.Sanitation and Antiepidemic Station of Long Gang District,Shenzhen,..THE DIFFERENCE BETWEEN NON-LINEAR REGRESSION AND CURVE FITTING ANALYSIS ON INCIDENCE OF MALARIA[J].Modern Preventive Medicine,2005,32(1):22-23,47. |
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| Authors: | YANG ZhuoSanitation and Antiepidemic Station of Long Gang District Shenzhen |
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| Institution: | YANG Zhuo.Sanitation and Antiepidemic Station of Long Gang District,Shenzhen,518172. |
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| Abstract: | Objective:To explore the regularity of malaria coming on with curve fitting model.Methods:Power model of non-linear regression was adopted to fit the curve of incidence of malaria,which result is contrast with the same model came from curve estimation method.Results:The power non-linear regression model(Y=159.4350X -1.7451,R2=0.9967) is optimum,which indicate it fits the fact better.Concluison:The non-linear regression power model is suitable for analyzing the data of malaria in Longgang district of Shenzhen. |
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| Keywords: | Malaria Incidence Curve fitting |
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