(Received April 13, 1992; revised March 23, 1993)
Abstract. Consider the construction of an interval estimate for a scalar parameter of interest in the presence of orthogonal nuisance parameters. A conditional prior density on the parameter of interest that is proportional to the square root of its information element, generates one-sided Bayes intervals that are approximately confidence intervals as well, having coverage error of order O(1/n), where n is the sample size. We show that the frequency property of these intervals also holds conditionally on a locally ancillary statistic near the true parameter value.
Key words and phrases: Bayes intervals, nuisance parameters, orthogonal parameters, local ancillarity.
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