Then it established the mathematical model of temperature and thermal errors using the polynomial linear regression theory.
然后应用多元线性回归理论建立了关键测温点的温升和热误差的数学模型。
The sixth part forecasts the future logistics demand of Shandong Province on the basis of one linear regression, polynomial regression, gray system G(1,1) model and combination forecast model.
第六部分采用一元线性回归、多项式回归、灰色系统G(1,1)模型和组合预测模型对山东省现代物流业未来需求状况进行了中期预测。
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