Abstract
Bootstrap methods are simulation methods for assessing sampling properties of statistical estimates. We discuss two ideas for making the simulation more efficient. The first idea is to balance the simulated samples, and the second idea is to make explicit use approximations which do not require simulation. Both ideas are illustrated with three examples.
Original language | English |
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Pages (from-to) | 555-566 |
Number of pages | 12 |
Journal | Biometrika |
Volume | 73 |
Issue number | 3 |
DOIs | |
State | Published - 1 Dec 1986 |
Externally published | Yes |
Keywords
- Balanced samples
- Bias
- Bootstrap
- Correlation
- Eigenvalue
- Hypergeometric distribution
- Jakknife
- Mean
- Normal approximation
- Permutation
ASJC Scopus subject areas
- Statistics and Probability
- General Mathematics
- Agricultural and Biological Sciences (miscellaneous)
- General Agricultural and Biological Sciences
- Statistics, Probability and Uncertainty
- Applied Mathematics