On a matrix version of Cochran's statistical theorem
On a matrix version of Cochran's statistical theorem
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关于科克伦统计定理的矩阵版本
DOI:
10.1016/0024-3795(95)00395-9
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发表时间:
1996
期刊:
影响因子:
--
通讯作者:
P. Šemrl
中科院分区:
文献类型:
--
作者:
P. Šemrl
Cochran's theorem on the distribution of quadratic forms in normal random variables can be equivalently formulated as a rank-additivity result for symmetric idempotent matrices. A generalization of this theorem to matrices satisfying a general matrix polynomial equation p(A) = 0 is given.