Minimum Variance Unbiased Estimate of a Coverage Probability

D. G. Kabe
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D. G. Kabe: Dalhousie University, Halifax, Novo Scotia, Canada

Operations Research, 1968, vol. 16, issue 5, 1016-1020

Abstract: Let F ( x , θ) denote the distribution function of a vector variate x , whose range does not depend on the parameter θ. Then assuming that θ admits a complete and sufficient estimator θ̂, we derive minimum variance unbiased estimate of Px ≦ a = F ( a , θ), where a is a known vector. The result is applied to a coverage problem in a normal set up.

Date: 1968
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