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- W2361723194 abstract "[Objective]To predict infant mortality and life expectancy in China.[Methods]Made national income per capita(purchasing power parity)as the independent variable and the same period's infant mortality of countries as dependent variable for curve fitting,found the optimal prediction model;Made infant mortality as the independent variable and the same period's life expectancy of countries as dependent variable for linear regression.[Results]Established power model to predict the infant mortality.R-Square was 0.858,model was fitted better.The predictive value of Chinese infant mortality rate in 2007 was 20.86‰,and the actual reported value was 19.00‰;Established linear regression model to predict the life expectancy,which adjusted R-Square was 0.926,model was fitted better.The predictive value of life expectancy of our population in 2007 was 72.36 years old,and the reported value was 74 years old.It predicted that the infant mortality rate of our population in 2020 was 8.46‰,and the life expectancy was 75.25 years old.[Conclusion]Chinese national income per capita in 2007 is low,but superior to the average level of other countries with equal economic power in reducing infant mortality and increasing life expectancy.Try to select the variable which is the most closely with the predictor,and ensure a large enough sample size.The traditional regression method can also be used to predict the life expectancy and infant mortality." @default.
- W2361723194 created "2016-06-24" @default.
- W2361723194 creator A5010046555 @default.
- W2361723194 date "2011-01-01" @default.
- W2361723194 modified "2023-09-24" @default.
- W2361723194 title "PREDICTION OF THE LIFE EXPECTANCY AND INFANT MORTALITY RATE" @default.
- W2361723194 hasPublicationYear "2011" @default.
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