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全国孕产妇死亡率不同模型的拟合效果比较 被引量:5

Comparison of imitative effects of different models for the national maternal mortality rate
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摘要 目的:探究分析灰色模型GM(1,1)、ARIMA及线性回归模型在孕产妇死亡率(MMR)中的拟合应用并比较模型的适用性及精确性,为妇幼保健工作提供科学依据。方法:以1991-2012年全国MMR为原始资料,运用SAS分析软件,分别采用灰色模型GM(1,1)、ARIMA及线性回归进行拟合比较分析并预测2013年MMR,比较预测效果。结果:灰色模型GM(1,1)和线性回归模型均通过模型检验建模成功,灰色模型GM(1,1)P=1.00,C=0.137 89,线性回归模型F=236.57,P〈0.000 1;2013年MMR预测显示:线性回归模误差较大,误差的方差(MPE)为10.08,平均相对误差绝对值(MAPE)为13.69%。结论:ARIMA不适合拟合MMR,灰色模型GM(1,1)和线性回归模型均可用于MMR的拟合,但预测某一年份时需慎重。 Objective: To explore the imitative applications of gray model GM ( 1, 1 ), ARIMA model and linear regression model for maternal mortality rate (MMR) , compare the applicability and accuracy, provide a scientific basis for maternal and child health care. Methods: The national MMR from 1991 to 2012 were used as the original data, AS software was used, gray model GM (1, 1 ) , ARIMA model and linear regression model were adopted for imitation, comparison and analysis; MMR in 2013 was predicted, the predictive effects were compared. Results: Gray model GM ( 1, 1 ) and linear regression model were established successfully, gray model GM ( 1, 1 ) P = 1.00, C =0. 137 89; linear regression model F =236. 57, P 〈0. 000 1; MMR in 2013 was predicted, the results showed that the error of linear regression model is large, MPE was 10. 08, MAPE was 13.69%. Conclusion: ARIMA is unsuitable for MMR, both gray model GM ( 1, 1 ) and linear regression model can be used for MMR imitation, but the application should be strict when used for predicting a given year.
出处 《中国妇幼保健》 CAS 2015年第5期664-666,共3页 Maternal and Child Health Care of China
关键词 孕产妇死亡率 灰色模型GM(1:1) ARIMA线性回归模型 MMR Gray model GM (1, 1 ) ARIMA Linear regression model
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