Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/6669
Title: Assessing the quality of bootstrap samples and of the bootstrap estimates obtained with finite resampling
Authors: Yatracos, Yannis G. 
Keywords: Bootstrap (Statistics);Jackknife (Statistics)
Category: SOCIAL SCIENCES
Field: Social Sciences
Issue Date: 1-Oct-2002
Publisher: Elsevier
Source: Statistics & Probability Letters, 2002, vol. 59, no. 3, pp. 281–292
Journal: Statistics & Probability Letters 
Abstract: It is seen in simulations and confirmed theoretically that: (i) the loss in accuracy of the Monte Carlo approximation of the bootstrap estimate can be infinite, due to the additional uncertainty introduced by finite resampling, and (ii) the dimension of the data or the estimate of interest affect drastically the quality of the bootstrap samples and estimates. Based on the findings, directions are provided to improve the bootstrap methodology.
ISSN: 0167-7152
DOI: 10.1016/S0167-7152(02)00196-7
Collaboration : National University of Singapore
Rights: © Elsevier
Attribution-NonCommercial-NoDerivs 3.0 United States
Type: Article
Appears in Collections:Άρθρα/Articles

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