Estimation of Stationary Stochastic Regression Parameters
平稳随机回归参数的估计
This article considers repeated regression experiments wherein the regression parameters vary according to a stationary stochastic process with known covariance structure. Expressions are derived for best linear estimators and predictors of linear functions of the regression parameters.