EDGEWORTH EXPANSIONS OF SOME STATISTICS INCLUDING THE LB-STATISTIC AND V-STATISTIC
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概要
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As an estimator of an estimable parameter, Toda and Yamato (2001) introduced a linear combination Y_n of U-statistics which includes V-statistic and LB-statistic. We give the Edgeworth expansions of the standardized Y_n statistic with remainder ο(n^<-l>) in case that the kernel is not degenerate. We also give the Edgeworth expansions of the studentized Y_n statistic using a jackknife variance estimator with remainder ο(n^<-1/2>).
- 一般社団法人日本統計学会の論文
著者
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Toda Koichiro
Graduate School of Science and Engineering, Kagoshima University
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Yamato Hajime
Department of Mathematics and Computer Science, Kagoshima University
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Nomachi Toshifumi
Miyakonojo College Of Technology
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Yamato Hajime
Department Of Mathematics And Computer Science Kagoshima University
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Toda Koichiro
Graduate School Of Science And Engineering Kagoshima University
関連論文
- BERRY-ESSEEN BOUNDS FOR SOME STATISTICS INCLUDING LB-STATISTIC AND V-STATISTIC
- Characterization of Some Random Partitions
- EDGEWORTH EXPANSIONS OF SOME STATISTICS INCLUDING THE LB-STATISTIC AND V-STATISTIC
- HIGHER ORDER EFFICIENCY OF LINEAR COMBINATIONS OF U-STATISTICS AS ESTIMATORS OF ESTIMABLE PARAMETERS
- A CONVEX COMBINATION OF TWO-SAMPLE U-STATISTICS
- INVARIANCE PRINCIPLES FOR A LINEAR COMBINATION OF U-STATISTICS
- ALMOST SURE CONVERGENCE OF A LINEAR COMBINATION OF U-STATISTICS
- LARGE DEVIATIONS FOR A LINEAR COMBINATION OF U-STATISTICS