Algorithms for Balanced Bootstrap Simulations
- 1 November 1988
- journal article
- research article
- Published by Taylor & Francis in The American Statistician
- Vol. 42 (4) , 263-266
- https://doi.org/10.1080/00031305.1988.10475581
Abstract
Efron's nonparametric bootstrap method simulates the distributional properties of a statistic by repeated resampling of a given sample. A balanced bootstrap simulation is one in which each sample observation is reused exactly equally often. Three algorithms for balanced bootstrap sampling are described, and it is shown that a balanced bootstrap simulation costs little more than an ordinary unbalanced one.Keywords
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