Admissibility of some tests, multiple decision procedures and classification procedures in multivariate analysis

Author:

Nishida Nobuo

Publisher

Hiroshima University - Department of Mathematics

Subject

Geometry and Topology,Algebra and Number Theory,Analysis

Reference34 articles.

1. [1] T. W. Anderson, Statistical inference for covariance matrices with linear structure. Multivariate Analysis II (P. R. Krishnaiah, ed), Academic Press, New York (1969), 55-66.

2. [2] T. W. Anderson, Estimation of covariance matrices which are linear combinations or whose inverse are linear combinations of given matrices, Essays Prob. Statist. (R. C. Bose and Others, eds), Univ. North Carolina Press, Chapel Hill (1970), 1-24.

3. [3] T. W. Anderson, An Introduction to Multivariate Statistical Analysis (2nd Ed.), John Wiley and Sons, New York, 1984.

4. [4] T. W. Anderson and S. Das Gupta, A monotonicity property of the power functions of some tests of the equality of two covariance matrices, Ann. Math. Statist. 35 (1964), 1059-1063.

5. [5] T. W. Anderson and A. Takemura, A new proof of admissibility of tests in multivariate analysis, J. Multivariate Anal. 12 (1982), 457-468.

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