Jackknife-after-bootstrap standard errors and influence functions.
Opis spôsobu, ako získať zo zavádzacej (bootstrap) analýzy viac informácií o presnosti jej odhadov. Výsledky značne zvyšujú použiteľnosť bootstrap a delta metódy, a dajú sa ľahko aplikovať. Ilustrácia na niekoľkých príkladoch.
Salvato in:
| Autore principale: | |
|---|---|
| Natura: | Capitolo di libro |
| Lingua: | inglese |
| Soggetti: | |
| Tags: |
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
Documenti analoghi: Jackknife-after-bootstrap standard errors and influence functions.
- Jackknifing linear estimating equations: Asymptotic theory and applications in stochastic processes.
- Empirical functionals and efficient smoothing parameter selection.
- Semiparametric estimation in logistic measurement error models.
- <A> reliable data-based bandwidth selection method for kernel density estimation.
- On the relationship between bayesian and non-Bayesian interval estimates.
- Pooling 2 x 2 tables: asymptotic moments of estimators.