JSTOR Daily

Accurate Critical Constants for the One-Sided Approximate Likelihood Ratio Test of a Normal Mean Vector When the Covariance Matrix Is Estimated

Tang, Gnecco, and Geller (1989, Biometrika 76, 577-583) proposed an approximate likelihood ratio (ALR) test of the null hypothesis that a normal mean vector equals a null vector against the ...
International Monetary Fund

High-Dimensional Covariance Matrix Estimation: Shrinkage Toward a Diagonal Target

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 ...
Simon Fraser University

Covariance Matrix

The estimated covariance matrix of the parameter estimates is computed as the inverse Hessian matrix, and for unconstrained problems it should be positive definite. If the final parameter estimates ...
JSTOR Daily

Some Applications of Matrix Differentiation in the General Analysis of Covariance Structures

This is a preview. Log in through your library . Abstract In this paper three important matrix differentiation theorems are established and some special cases pointed out. The results are used to ...