Abstract
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.
Original language | English (US) |
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Pages (from-to) | 151-160 |
Number of pages | 10 |
Journal | Statistics and Probability Letters |
Volume | 7 |
Issue number | 2 |
DOIs | |
State | Published - Sep 1988 |
All Science Journal Classification (ASJC) codes
- Statistics and Probability
- Statistics, Probability and Uncertainty