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Stopping rules for the estimation of the parameters of bivariate and trivariate binominal distributions

Alessandro Zini ()

Operations Research and Decisions, 2004, vol. 14, issue 2, 61-68

Abstract: In this work one step look-ahead rules for the estimation of the parameters of the bivariate and trivariate distributions are given. They turn out to be asymptotically optimal and may be useful in many statistical contexts, for example, in statistical quality control and customer satisfaction analyses.

Keywords: binominal distribution; estimation; success categorization (search for similar items in EconPapers)
Date: 2004
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