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On complete classes of experiments for certain invariant problems of linear inference
Authors:Bikas Kumar Sinha
Institution:Department of Statistics, North Carolina State University, Raleigh, NC 27650, USA
Abstract:For certain non-singularly estimable full-rank appropriately invariant problems of linear inference in the setting of block designs, some complete classes of experiments have been characterized through the relation between the relevant C-matrices and their g-inverses (of the Moore-Penrose type) in regard to the specific invariance criterion discussed here. It follows that for a G-invariant non-singularly estimable full-rank problem, a complete class of experiments formally consists only of G-invariant designs.
Keywords:Primary 62K05  Secondary 62K10  15A09  20B05  Generalized inverses of matrices  Invariant matrices  Invariant g-inverses  Non-singularly estimable full-rank problems  Complete classes of experiments
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