An Edgeworth expansion for the m out of n bootstrapped median
โ Scribed by Anat Sakov; Peter J. Bickel
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 94 KB
- Volume
- 49
- Category
- Article
- ISSN
- 0167-7152
No coin nor oath required. For personal study only.
โฆ Synopsis
It is well known that the ordinary bootstrap distribution of the median is consistent. We show that for bootstrap samples of size m, an Edgeworth expansion holds with reminder term Op(1=m + m -1=4 log m= โ n). With extrapolation this gives a best possible rate estimate of the distribution.
๐ SIMILAR VOLUMES
Simple algorithms are presented to compute both the exact probability of M or more out of N independent input events given unequal probabilities and, when there is uncertainty in the input event probabilities, the associated variance in the M-out-of-N probability. The performance of the M-out-of-N p
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