Identification of outlier bootstrap samples
We define a variation of Efron's method II based on the outlier bootstrap sample concept. A criterion for the identification of such samples is given, with which a variation in the bootstrap sample generation algorithm is introduced. The results of several simulations are analyzed in which, in comparison with Efron's method II, a higher degree of closeness to the estimated quantities can be observed.
Year of publication: |
1997
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Authors: | Munoz-Garcia, J. ; Pino-Mejias, R. ; Munoz-Pichardo, J. M. ; Cubiles-De-La-Vega, M. D. |
Published in: |
Journal of Applied Statistics. - Taylor & Francis Journals, ISSN 0266-4763. - Vol. 24.1997, 3, p. 333-342
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Publisher: |
Taylor & Francis Journals |
Saved in:
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