Abstract
The bootstrap (Efron, 1979, 1982) is a very simple resampling plan and has shown to be successful in estimating the bias and other measures of statistical error of a number of estimators. It gives freedom from the constraints of traditional parametric theory at the cost of performing the usual statistical calculations a hundred or a thousand times over. In this letter another example of bootstrap estimation of bias is given. It is interesting that Quenouille's (1949) jackknife (see Miller, 1964, for a review) fails completely in this case.
| Original language | English |
|---|---|
| Pages (from-to) | 307-311 |
| Journal | Statistics and Probability Letters |
| Volume | 1 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 1983 |
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