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An estimator, γ, of μ is developed which utilizes a priori information concerning the value of the population coefficient of variation. γ′ is shown to have a smaller mean squared error than the sample mean, γ. A table of relative efficiencies for various coefficients of variation and sample sizes is presented.
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Donald T. Searls (1964) studied this question.
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