1)  ARMA
自回归滑动平均混合模型
2)  ARIMA
非平稳自回归-滑动平均混合模型
3)  Auto regression
自回归
1.
An effective method of dynamic power management based on wavelet and AR(auto regression) is proposed to extend life of wireless sensor networks by making economical use of energy.
为了最大限度地节约能量的使用,延长无线传感器网络使用寿命,提出了一种利用小波和自回归的动态功率管理(DPM)方法。
4)  self-tempering
自回火
1.
This paper comprehensively studies the properties of strength and toughness of U-shape steels 20MnK,Q275 on test pieces under various processes of intercritical hardening and self-tempering.
以20MnK、Q275两种牌号U型钢进行试验,全面探索了U型钢经亚温淬火及自回火后的强韧性。
5)  self tempering
自回火
1.
Simultaneous heating and quenching with high power medium frequency equipment for parts of long shaft,adopting special induction coil and adjustable induction coil and self tempering,will improve on medium frequency quenching quality of the parts and raise obviously productivity,thereby cause the enterprise to obtain fine product quality,high productivity and Low production cost.
对长轴类零件采用大功率中频机同时加热表面淬火的方法 ,配以专用感应圈和伸缩感应圈的应用和自回火的应用 ,结果表明 ,可提高零件中频表面淬火质量 ,并大大提高生产效率 ,从而使企业在生产中取得高产品质量 ,高生产效率和低生产成本的极佳效果。
2.
The investigation was conducted on the technique of intercritical hardening by medium frequency induction and self tempering for the high strength bolts.
对高强度接头螺栓进行了中频加热感应亚温淬火及自回火工艺研究。
6)  Autoregression
自回归
1.
Hydrologic forecast model with multidimensional and hybrid regression system is combined by regression and autoregression methods.
多维混合回归系统模型是将回归与自回归结合起来的综合模型。
2.
Meanwhile, the grey forecasting models were improved and it was verified that the time response series had the properties of autoregression.
利用 Z 变换给出 G M (1,1)、 G M (2,1)的时间响应序列,改进了灰色预测模型,同时证明该时间响应序列具有自回归性。
3.
This paper introduces a recurrence formula for estimating the variances of errors of a sequence forecasted by an autoregression model and gives two examples under both smooth and nonsmooth conditions.
讨论了自回归模型的预测误差的方差估计问题,给出了详细的递推计算公式,并给出了平稳序列与非平稳序列的例子各1个。
参考词条
补充资料:多元线性回归模型
分子式:
CAS号:

性质:假定从理论上或经验上已经知道输出变量y是输入变x1,x2,…,xm的线性函数,但表达其线性关系的系数是未知的,要根据输入输出的n次观察结果(c11,x21,…,xml,yi)(i=1,n)来确定系数的值。按最小二乘法原理来求出系数值,所得到的模型为多元线性回归模型。

说明:补充资料仅用于学习参考,请勿用于其它任何用途。