Assessing the quality of bootstrap samples and of the bootstrap estimates obtained with finite resampling
β 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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β¦ 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.
π SIMILAR VOLUMES
Powerful computational procedures are now available to better determine the accuracy of statistical estimates derived from data that have unknown distributions or do not meet parametric requirements. These techniques are generally called resampling plans and include the recently developed bootstrap.
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