U-statistic based on overlapping sample spacings
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arXiv
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| Autores principales: | , |
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| Formato: | Preprint |
| Publicado: |
2021
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| _version_ | 1866911873276837888 |
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| author | Singh, Rahul Misra, Neeraj |
| author_facet | Singh, Rahul Misra, Neeraj |
| contents | For testing goodness of fit, we consider a class of U-statistics of overlapping spacings of order two, and investigate their asymptotic properties. The standard U-statistic theory is not directly applicable here as the overlapping spacings form a dependent random sequence. The asymptotic distribution of the statistics under the null hypothesis and under a sequence of local alternatives are derived. In terms of the Pitman ARE, the U-statistic based on Gini's mean square difference of overlapping spacings is found to be the asymptotically locally most powerful. Interestingly, this test has the same efficacy as the Greenwood test based on overlapping spacings. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2110_10737 |
| institution | arXiv |
| publishDate | 2021 |
| record_format | arxiv |
| spellingShingle | U-statistic based on overlapping sample spacings Singh, Rahul Misra, Neeraj Statistics Theory 62G10, 62G20 For testing goodness of fit, we consider a class of U-statistics of overlapping spacings of order two, and investigate their asymptotic properties. The standard U-statistic theory is not directly applicable here as the overlapping spacings form a dependent random sequence. The asymptotic distribution of the statistics under the null hypothesis and under a sequence of local alternatives are derived. In terms of the Pitman ARE, the U-statistic based on Gini's mean square difference of overlapping spacings is found to be the asymptotically locally most powerful. Interestingly, this test has the same efficacy as the Greenwood test based on overlapping spacings. |
| title | U-statistic based on overlapping sample spacings |
| topic | Statistics Theory 62G10, 62G20 |
| url | https://arxiv.org/abs/2110.10737 |