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Assessing the quality of bootstrap samples and of the bootstrap estimates obtained with finite resampling

✍ Scribed by Yannis Yatracos


Publisher
Elsevier Science
Year
2002
Tongue
English
Weight
182 KB
Volume
59
Category
Article
ISSN
0167-7152

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✦ Synopsis


It is seen in simulations and conΓΏrmed theoretically that: (i) the loss in accuracy of the Monte Carlo approximation of the bootstrap estimate can be inΓΏnite, due to the additional uncertainty introduced by ΓΏnite resampling, and (ii) the dimension of the data or the estimate of interest a ect drastically the quality of the bootstrap samples and estimates.

Based on the ΓΏndings, directions are provided to improve the bootstrap methodology.


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