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[학술저널]

  • 학술저널

Saemi Yun(Daegu University) Kyeongjun Lee(Daegu University)

DOI : 10.7465/jkdi.2019.30.4.933

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초록

The problem of examining how well a assumed distribution fits the data of a sample is of significant that has to be examined prior to any inferential process. In this paper, a new goodness-of-fit test for an exponential distribution based on progressive censored data is proposed. Using Monte Carlo simulation studies, the present researchers have observed that the proposed test for exponentiality is consistent and quite powerful in comparison with existing goodness-of-fit tests based on progressive censored data. Also, the new test statistic for a real data set is used and the results show that our new test statistic performs well.

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Abstract
1. Introduction
2. Proposed tests
3. Illustrative examples and simulation results
4. Conclusions
References

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