Reviewed by JeFreda R. Brown Covariance indicates the relationship between two variables whenever one variable changes. The variables, and thus the covariance, can move hand-in-hand, increasing or ...
Mathematical Proceedings of the Royal Irish Academy, Vol. 99A, No. 2 (Dec., 1999), pp. 171-177 (7 pages) In this paper we derive the exact covariance of some sample moments for 'simple random sampling ...
We study sample covariance matrices of the form $W=(1/n)CC^{\intercal}$, where C is a k × n matrix with independent and identically distributed (i.i.d.) mean 0 ...
Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation This paper proposes a novel shrinkage estimator for high-dimensional covariance matrices by extending the Oracle ...
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