In this paper, a new process of estimating autocorrelation parameter is given when remedying autocorrelation of error term in regression model.
在消除回归模型误差项的自相关现象的处理中，提出了一种确定自相关参数估计值的新方法。
A reconstructing method for random weighting approximations is proposed in approach to the distributions of the parameter estimates in general linear regression model.
对一般线性回归模型中有关参数估计分布的模拟问题，给出一种随机加权逼近的再构造方法。
Based on the basic principle and modeling method of partial least-square regression (PLSR), establishing the mathematical model for parameter prediction of the steam turbine units.
根据偏最小二乘回归的基本原理和建模的基本思路，建立数学模型并将其应用于电厂机组的参数预测中。
应用推荐