Abstract
Let X and Y be observation vectors in normal linear experiments ε =N(Aβ, σV) and F = N(Bβ, σW). We write ε > Fif for any quadratic form Y′GY there exists a quadratic formX′HX such that E(X′HX) = E(Y'GY) and var(X'HX) ≤ var(Y'GY).The relation > is characterized by the matrices A, B, V and W. Moreoversome connections with known orderings of linear experiments are given.
Similar content being viewed by others
References
Boll, C. (1955). Comparison of experiments in the infinite case, Ph.D. Dissertation, Stanford University, Department of Statistics, Stanford, CA.
Drygas, H. (1983). Sufficiency and completeness in the general Gauss-Markov model, Sankhyā Ser. A, 45, 88–98.
Ehrenfeld, S. (1955). Complete class theorem in experimental design, Proc. Third Berkeley Symp. on Math. Statist. Probab., Vol. 1, 69–75.
Hansen, O. H. and Torgersen, E. (1974). Comparison of linear experiments, Ann. Statist., 2, 365–373.
Kiefer, J. (1959). Optimum experimental designs, J. Roy. Statist. Soc. Ser. B, 21, 272–319.
Lehmann, E. L. (1986). Testing Statistical Hypotheses, 2nd ed., Wiley, New York.
Lehmann, E. L. (1988). Comparing location experiments, Ann. Statist., 16, 521–533.
Mueller, J. (1987). Sufficiency and completeness in the linear model, J. Multivariate Anal., 22, 312–323.
Pukelsheim, F. (1993). Optimal Designs of Experiments, Wiley, New York.
Rao, C. R. (1973). Linear Statistical Inference and Its Applications, 2nd ed., Wiley, New York.
Searle, S. R. (1971). Linear Models, Wiley, New York.
Seely, J. (1978). A complete sufficient statistic for the linear model under normality and singular covariance matrix, Comm. Statist. Theory Methods, A7, 1465–1473.
Stepniak, C. (1985). Ordering of nonnegative definite matrices with application to comparison of linear models, Linear Algebra Appl., 70, 67–71.
Stepniak, C. (1987). Reduction problems in comparison of linear models, Metrika, 34, 211–216.
Stepniak, C. (1995). Estimating the mean squared error of a linear estimator (submitted).
Stepniak, C. and Torgersen, E. (1981). Comparison of linear models with partially known covariances with respect to unbiased estimation, Scand. J. Statist., 8, 183–184.
Stepniak, C., Wang, S. G. and Wu, C. F. J. (1984). Comparison of linear experiments with known covariances, Ann. Statist., 12, 358–365.
Torgersen, E. (1984). Ordering of linear models, J. Statist. Plann. Inference, 9, 1–17.
Torgersen, E. (1991). Comparison of Statistical Experiments, Cambridge Univ. Press, Cambridge.
Author information
Authors and Affiliations
About this article
Cite this article
Stępniak, C. Comparison of Normal Linear Experiments by Quadratic Forms. Annals of the Institute of Statistical Mathematics 49, 569–584 (1997). https://doi.org/10.1023/A:1003179131047
Issue Date:
DOI: https://doi.org/10.1023/A:1003179131047