Title | Linear Statistical Inference [electronic resource] : Proceedings of the International Conference held at Poznaล, Poland, June 4-8, 1984 / edited by T. Caliลski, W. Klonecki |
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Imprint | New York, NY : Springer New York : Imprint: Springer, 1985 |
Connect to | http://dx.doi.org/10.1007/978-1-4615-7353-1 |
Descript | VI, 320 p. online resource |
1. Some Geometric Tools for the Gaussian Linear Model with Applications to the Analysis of Residuals -- 2. Approximate Design Theory for a Simple Block Design with Random Block Effects -- 3. Rectangular Lattices Revisited -- 4. Multiple Comparisons between Several Treatments and a Specified Treatment -- 5. Minimax-Prediction in Linear Models -- 6. Singular Information Matrices, Directional Derivatives and Subgradients in Optimal Design Theory -- 7. A Note on Admissibility of Improved Unbiased Estimators in Two Variance Components Models -- 8. Linear Statistical Inference Based on L-Estimators -- 9. Connected Designs with the Minimum Number of Experimental Units -- 10. Some Remarks on the Spherical Distributions and Linear Models -- 11. On Computation of the Log-Likelihood Functions under Mixed Linear Models -- 12. Some Remarks on Improving Unbiased Estimators by Multiplication with a Constant -- 13. On Improving Estimation in a Restricted Gauss-Markov Model -- 14. Distribution of the Discriminant Function -- 15. Admissibility, Unbiasedness and Nonnegativity in the Balanced, Random, One-Way Anova Model -- 16. Inference in a General Linear Model with an Incorrect Dispersion Matrix -- 17. A Split-Plot Design with Wholeplot Treatments in an Incomplete Block Design -- 18. Sensitivity of Linear Models with Respect to the Covariance Matrix -- 19. On a Decomposition of the Singular Gauss-Markov Model -- 20. Ridge Type M-Estimators -- 21. Majorization and Approximate Majorization for Families of Measures, Applications to Local Comparison of Experiments and the Theory of Majorization of Vectors in Rn -- 22. Characterization of Linear Admissible Estimators in the Gauss-Markov Model under Normality