Global Sensitivity Results for Generalized Least Squares Estimates
将回归残差的协方差矩阵分解为单位阵加有界矩阵V，识别出对应的广义最小二乘估计集，并发现极端估计是t统计量的函数，其中((T-k)/8)^(1/2)/|t|衡量重新加权极端观测的影响。
Abstract The covariance matrix for the residuals of a regression process is written as the identity matrix plus a matrix V. The matrix V is bounded from above, and the corresponding set of generalized least squares estimates is identified. The extreme estimates in this set are functions of the usual t statistics; in particular the number ((T - k)/8)1/2/|t| measures the influence of reweighting extreme observations, where T - k gives the degrees of freedom, t is the t statistic, and the weights on observations are allowed to vary by a factor of at most 2.