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) |
|---|---|
| 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
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