Approximate design-based variance of functions of covariance matrix
Keywords: finite population, sampling, covariance matrix, determinant, Hotelling's T^2, Taylor linearization
Functions of a design-weighted estimator ^ S of the finite population covariance matrix are considered. For these functions (determinant, Hotelling’s T2) the approximate (Taylor series based) variances are derived. For ^ S also the exact dispersion matrix is derived. These are generalizations of earlier results for independent identically distributed (i.i.d.) variables. A simulation study supports the derived formulae.
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