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已有方差-协方差分量估计(VCE)的粗差探测是对残差检验,而VCE的本质是利用残差的二阶量来估计它的二阶中心矩,因此更合理的方法应该对残差二阶量检验。由最小二乘残差估值导出了一组服从标准正态分布的等效残差;然后从等效残差的VCE基本方程出发,分别采用χ2统计量和正态积Np统计量检验等效残差的平方及其乘积。结果表明,采用正态分布统计量以置信水平α检验等效残差相当于采用χ2统计量以相等的置信水平检验等效残差的平方,而以小于α的置信水平采用Np统计量检验等效残差的乘积。比较基于残差和残差二阶量的粗差剔除的VCE结果,两者的方差分量估值等价,但基于残差二阶量粗差剔除的VCE能更有效地估计协方差。 更多还原

【Abstract】 The existing outlier detection methods in variance-covariance component estimation(VCE) are based on the residuals.However,the essential inputs of VCE are the second-order values of residuals and,thus it is more reasonable to carry out the outlier detection using these second-order values directly.In this paper,starting with the fundament VCE equations based on equivalent residuals with standard normal distribution,we propose a new method to detect the outliers of VCE inputs where the chi-square... 更多还原