The static models of EGO sensors for different temperature were built up using sectioned polynomial based on the least square.
采用基于最小二乘的分段多项式，建立了不同温度下EGO传感器的静态模型。
2
A global smoothing method based on polynomial splines is used to estimate the coefficient functions in functional-coefficient linear autoregressive models.
基于多项式样条全局光滑方法，建立函数系数线性自回归模型中系数函数的样条估计。
3
The models and its polynomial algorithms are given for determining the deducting coefficient of passenger train at the various states.