Abstract
How the presence of autocorrelation in a multivariate normal sample affects the confidence level of confidence regions based upon chi-square statistics is investigated. Particular consideration is given to the effect that this violation of the assumption of a random sample has upon the construction of confidence regions for the mean μ and the scalar σ2, in σ2V, where V is a known dispersion matrix.

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