表 3：模型参数估计结果（Model Parameter Estimates） COMEX(-1) COMEX(-2) COMEX(-3) COMEX(-4) COMEX(-5) COMEX(-6) COMEX(-7) USDX(-1) USDX(-2) USDX(-3) USDX(-4) USDX(-5) USDX...
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model summary and parameter estimates 简易模型及参数估计 ; 模型总结和参数估计
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。
Zero-truncated count model could not only solve the issue of zero-truncated count distribution, but also the parameter estimates were more accurate, the fitting results were more reasonable.
采用零截尾计数模型分析，不仅可以解决零截尾计数分布问题，且参数估计结果更准确，拟合效果更合理。
Algorithms for iteratively refining the parameter estimates and residuals from the fitting of a regression model using QR decomposition are described.
讨论用QR分解拟合回归方程时，参数估计和剩余的迭代加细算法。
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