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We present a simple and efficient algorithm to calculate a class of estimators of location which solve as nearly as possible , where μ ranks the
is a set of weights. A variety of estimators, including the Hodges-Lehmann, the trimmed mean and the inverse normal may be calculated by appropriate choice of the η
i
Confidence intervals may also be estimated.
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