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[학술저널]

  • 학술저널

Jung-In Seo(Daejeon University)

DOI : 10.7465/jkdi.2019.30.4.885

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초록

This article provides estimation methods based on the pivotal quantity to construct exact confidence intervals with the equal-tails and shortest-length for unknown parameters of an exponentiated Pareto distribution based on lower record values and extends the method to prediction for the future lower record values, which not only entails no computational complexity like the maximum likelihood method, but also leads to valid confidence intervals even if the sample size is not large enough. The provided method is evaluated through Monte Carlo simulations and a real data set is analyzed for illustrative purposes.

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Abstract
1. Introduction
2. Inference based on pivotal quantity
3. Applications
4. Conclusions
References

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