Abstract
In this article, many of the known univariate results about Pitman's Measure of Closeness (PMC) are synthesized through a topological approach. The proofs of many known results are simplified and clarified. The approach extends some previous results established under other restrictions. Connections between PMC and Bayesian estimation are discussed but the inherent interpretations differ. A discourse on this connection can be found in the article of Ghosh and Sen (1991). A transitiveness property for ordered estimators is established and a counter example is given for unordered ones. These results help distinguish between the Bayesian and classical interpretations of Pitman's measure.
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