方法对比
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| 参数自举法× | Bootstrap Inference× | |
|---|---|---|
| 领域 | 统计学 | 统计学 |
| 方法族 | Regression model | Regression model |
| 起源年份≠ | 1993 | 1979 |
| 提出者≠ | Efron & Tibshirani; Davison & Hinkley | Bradley Efron |
| 类型≠ | Resampling-based inference (model-based) | Resampling-based inference |
| 开创性文献≠ | Efron, B. & Tibshirani, R. J. (1993). An Introduction to the Bootstrap. CRC Press. ISBN: 978-0412042317 | Efron, B. (1979). Bootstrap Methods: Another Look at the Jackknife. Annals of Statistics, 7(1), 1-26. DOI ↗ |
| 别名≠ | parametrik bootstrap, model-based bootstrap, parametric resampling | bootstrap, bootstrap resampling, nonparametric bootstrap, Bootstrap Çıkarımı |
| 相关 | 5 | 5 |
| 摘要≠ | The parametric bootstrap is a resampling method that estimates standard errors and confidence intervals by drawing repeated samples from a parametric model that has been fitted to the data. Developed in the bootstrap literature of Efron and Tibshirani (1993) and Davison and Hinkley (1997), it replaces analytic derivations for non-normal distributions and complex statistics. | Bootstrap inference, introduced by Bradley Efron in 1979, estimates the sampling distribution of a statistic by repeatedly resampling the observed data with replacement. It requires no distributional assumption and produces reliable confidence intervals even in small samples. |
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