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Confidence regions for Pareto parameters from a single and independent samples

Author

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  • Stefan Bedbur
  • Udo Kamps
  • Jens M. Lennartz

Abstract

[Abstract] Based on a single and on two independent samples, joint confidence regions for parameters of Pareto distributions are proposed with minimum volume properties and without assigning the confidence level to dimensions. In the one-sample case, comparisons are made to former simultaneous confidence sets for Pareto parameters by means of simulation and a real data set. The two-sample case is studied in various set-ups and comprises simultaneous confidence regions for the shape parameters, the scale parameters, and higher-dimensional vectors of these parameters, where common shape and common scale models are also considered.

Suggested Citation

  • Stefan Bedbur & Udo Kamps & Jens M. Lennartz, 2019. "Confidence regions for Pareto parameters from a single and independent samples," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 48(13), pages 3341-3359, July.
  • Handle: RePEc:taf:lstaxx:v:48:y:2019:i:13:p:3341-3359
    DOI: 10.1080/03610926.2018.1476706
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    Cited by:

    1. J. M. Lennartz & S. Bedbur & U. Kamps, 2021. "Minimum area confidence regions and their coverage probabilities for type-II censored exponential data," Statistical Papers, Springer, vol. 62(1), pages 171-191, February.
    2. Bedbur, S. & Kamps, U. & Lennartz, J.M., 2019. "On a smallest confidence region for a location–scale parameter in progressively type-II censored lifetime experiments," Statistics & Probability Letters, Elsevier, vol. 154(C), pages 1-1.

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