The linear autoregression model with input variables is a comprehensive forecasting model which is superior to the conventional model for phenological forecast.

带输入项的线性自回归模型是一种综合性预测模型，较之常用的树木物候预测模型更为优越。

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This article demonstrates that deformation forecast will be performed by a comprehensive method of non linear regression model combined with time series analysis.

本文将讨论综合运用非线性回归模型和时间序列分析的方法进行变形预报。

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Based on statistic analysis, a comprehensive analysis prediction model for middle and long term hydrological forecast was presented.

依统计分析，建立了水文中长期预报的一个综合分析预测模式。

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