Bootstrap confidence intervals
Nonparametric confidence bounds are obtained for a wide class of statistics using bootstrap. These results improve the errors in the probability estimates of the confidence intervals over the ones obtained by the normal approximation theory unconditionally.
Year of publication: |
1988
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Authors: | Babu, G. J. ; Bose, A. |
Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 7.1988, 2, p. 151-160
|
Publisher: |
Elsevier |
Keywords: | normal approximation nonparametric confidence intervals Cramers condition Edgeworth expansion bootstrap |
Saved in:
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