[1]Rao C R. The theory of least squares when the parameters are stochastic and its application to the analysis of growth curves. Biometrika, 1965, 52: 447-458
[2]Harville D.Extension of the Gauss Markov theorem to include the estimation of random effects.Ann Statist,1976, 4: 384-396
[3]Pfeffermann D. On extension of the GaussMarkov theorem to thecase of stochastic regression coefficients. J R Statist Soc, 1984, 46: 139-148
[4]董莉明, 吴启光. 二次损失下随机回归系数和参数的线性估计是可容许的充要条件. 数学学报, 1988, 2: 145-147
[5]吴启光. 随机回归系数和参数的线性估计的可容许性的几个结果. 应用数学学报, 1988, 1: 96-106
[6]Efron B, Morris C. Families of minimax estimators of the mean of a multivariate normal distribution. Ann Statist, 1976, 4: 11-21
[7]Khusheed A. A family of admissible minimax estimators of the mean of a multivariate normal distribution. Ann Statist, 1973, (1): 517-525
[8]徐兴忠. 二次损失下回归系数的Minimax估计. 数学年刊, 1993, 14(5): 621-628
[9]温忠麟, 杨镜华。正态线性模型中可估函数的Minimax估计. 数学年刊, 1999,20(6): 685-688
[10]陈希孺等。 线性模型参数的估计理论. 北京: 科学出版社, 1985
[11]王松桂。 线性模型的理论及其应用. 合肥: 安徽教育出版社, 1987 |