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Shortest confidence intervals and UMVU estimators for families of distributions involving truncation parameters

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An Erratum to this article was published on 01 December 1989

Summary

In this paper, using the pivotal quantity method, new shortest-length confidence intervals and uniformly minimum variance unbiased (UMVU) estimators are constructed, where two independent random samples are available from families of distributions involving truncation parameters. Also, in the case of one sample, we give, for some uniform distributions, confidence intervals which are the shortest among all known confidence intervals.

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Authors and Affiliations

  1. Probability-Statistics and Operational Research Unit, Department of Mathematics, University of Ioannina, 45332, Ioannina, Greece

    K. K. Ferentinos

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  1. K. K. Ferentinos
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Additional information

An erratum to this article is available at http://dx.doi.org/10.1007/BF02614099.

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Ferentinos, K.K. Shortest confidence intervals and UMVU estimators for families of distributions involving truncation parameters. Metrika 34, 341–359 (1987). https://doi.org/10.1007/BF02613166

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  • DOI: https://doi.org/10.1007/BF02613166

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