Bandingkan kaedah
Semak kaedah pilihan anda secara bersebelahan; baris yang berbeza akan diserlahkan.
| Bootstrap Parametrik× | Bootstrap BCa (Pembetulan Bias dan Pecutan)× | |
|---|---|---|
| Bidang | Statistik | Statistik |
| Keluarga | Regression model | Regression model |
| Tahun asal≠ | 1993 | 1987 |
| Pengasas≠ | Efron & Tibshirani; Davison & Hinkley | Bradley Efron |
| Jenis≠ | Resampling-based inference (model-based) | Resampling confidence interval |
| Sumber perintis≠ | Efron, B. & Tibshirani, R. J. (1993). An Introduction to the Bootstrap. CRC Press. ISBN: 978-0412042317 | Efron, B. (1987). Better Bootstrap Confidence Intervals. Journal of the American Statistical Association, 82(397), 171-185. DOI ↗ |
| Alias | parametrik bootstrap, model-based bootstrap, parametric resampling | BCa Bootstrap (Bias-Corrected Accelerated), bias-corrected accelerated bootstrap, BCa confidence interval |
| Berkaitan | 5 | 5 |
| Ringkasan≠ | 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. | The BCa bootstrap is a resampling method, introduced by Bradley Efron in 1987, that produces more accurate confidence intervals than the plain percentile bootstrap by applying a bias correction and an acceleration adjustment. It is recommended for skewed distributions and small samples. |
| ScholarGateSet data ↗ |
|
|