论文信息 - On Extensions of the Gauss‐Markov Theorem to the Case of Stochastic Regression Coefficients - 字舞流文

On Extensions of the Gauss‐Markov Theorem to the Case of Stochastic Regression Coefficients

Danny Pfeffermann | D. Pfeffermann

[1] D. Pfeffermann,et al. Regression Analysis of Data from a Cluster Sample , 1981 .

[2] Donald B. Rubin,et al. Using Empirical Bayes Techniques in the Law School Validity Studies , 1980 .

[3] R. Fay,et al. Estimates of Income for Small Places: An Application of James-Stein Procedures to Census Data , 1979 .

[4] David A. Harville,et al. Extension of the Gauss-Markov Theorem to Include the Estimation of Random Effects , 1976 .

[5] Barr Rosenberg,et al. Linear regression with randomly dispersed parameters , 1973 .

[6] Barr Rosenberg.. The Estimation of Stationary Stochastic Regression Parameters Reexamined , 1972 .

[7] D. Guthrie,et al. Estimation of Stationary Stochastic Regression Parameters , 1970 .

[8] Calyampudi R. Rao,et al. The theory of least squares when the parameters are stochastic and its application to the analysis of growth curves. , 1965, Biometrika.

[9] John S. Chipman,et al. On Least Squares with Insufficient Observations , 1964 .