Porovnať metódy
Prezrite si vybrané metódy vedľa seba; riadky, ktoré sa líšia, sú zvýraznené.
| Jackknife Resampling× | Odhad mediánovej absolútnej odchýlky (MAD)× | Test permutáciou (randomizačný test)× | |
|---|---|---|---|
| Odbor | Štatistika | Štatistika | Štatistika |
| Rodina | Regression model | Regression model | Regression model |
| Rok vzniku≠ | 1956 | 1974 | 2005 |
| Tvorca≠ | Quenouille (1956); reviewed by Miller (1974) | Hampel (influence-curve treatment); classical robust statistics | Good (2005); Edgington & Onghena (2007); resampling tradition |
| Typ≠ | Resampling / bias and variance estimation | Robust scale estimator | Nonparametric resampling test |
| Pôvodný zdroj≠ | Quenouille, M. H. (1956). Notes on Bias in Estimation. Biometrika, 43(3/4), 353-360. DOI ↗ | Hampel, F. R. (1974). The Influence Curve and Its Role in Robust Estimation. Journal of the American Statistical Association, 69(346), 383-393. DOI ↗ | Good, P. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses (3rd ed.). Springer. ISBN: 978-0387202792 |
| Ďalšie názvy | leave-one-out resampling, Quenouille-Tukey jackknife, delete-one jackknife, Jackknife Yeniden Örnekleme | median absolute deviation, MAD scale estimator, robust scale estimation, Medyan Mutlak Sapma (MAD) Tahmini | randomization test, exact permutation test, re-randomization test, Permütasyon Testi |
| Príbuzné | 5 | 5 | 5 |
| Zhrnutie≠ | The jackknife is a classical resampling method that estimates the bias and variance of a statistic by systematically recomputing it with one observation left out at a time. Introduced by Quenouille in 1956 and later reviewed by Miller in 1974, it predates the bootstrap and remains a simple, deterministic tool for assessing estimator stability. | Median Absolute Deviation estimation is a robust measure of statistical dispersion that replaces the standard deviation when outliers are present. Rooted in the influence-curve framework formalised by Hampel (1974), it summarises the spread of a continuous variable using medians instead of means, so a single extreme value cannot distort the result. | The permutation test is a nonparametric resampling procedure that builds the sampling distribution of a test statistic directly from the data by repeatedly shuffling the group labels. Developed in the resampling tradition and treated systematically by Good (2005) and Edgington & Onghena (2007), it requires no parametric distributional assumption and yields an exact p-value. |
| ScholarGateDátová sada ↗ |
|
|
|