Nonlinear Regression in SARS Forecasting
SARS疫情预测预报中的分段非线性回归方法

This paper introduces some kinds of nonlinear growth curve for forecasting cumulative SARS patients, it is shown that the Richards curve is reasonable and flexible in this SARS forecasting. The nonlinear growth curve regression model is established for forecasting cumulative SARS patients.Specifically,the SARS situation forecasting in Beijing is made well which includes forecasting based on comsecutive and piecewise time fitting. It means some control policies in Beijing at the end of this April play important role for anti-spread of SARS,and also provides a good basis for future works.