Bootstrapping the mean of a symmetric population
| Autor: | Ricardo Cao, J. M. Prada-Sánchez |
|---|---|
| Rok vydání: | 1993 |
| Předmět: |
Statistics and Probability
Statistics::Theory education.field_of_study Monte Carlo method Population Edgeworth series Computer Science::Performance Distribution function Rate of convergence Bootstrapping (electronics) Convergence (routing) Statistics Statistics::Methodology Applied mathematics Symmetrization Statistics Probability and Uncertainty education Mathematics |
| Zdroj: | Statistics & Probability Letters. 17:43-48 |
| ISSN: | 0167-7152 |
| DOI: | 10.1016/0167-7152(93)90193-m |
| Popis: | Using Edgeworth expansions we compare the rates of convergence of the normal approximation and two bootstrap approaches for the sample mean of a symmetric population. In a simulation study we see how bad is the Monte Carlo approximation when bootstrapping the Edgeworth expansions. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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