Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Бутстреп-вывод× | Оценщик Тейля-Сена× | |
|---|---|---|
| Область | Статистика | Статистика |
| Семейство | Regression model | Regression model |
| Год появления≠ | 1979 | 1968 |
| Автор метода≠ | Bradley Efron | Henri Theil (1950); P. K. Sen (1968) |
| Тип≠ | Resampling-based inference | Robust linear regression |
| Основополагающий источник≠ | Efron, B. (1979). Bootstrap Methods: Another Look at the Jackknife. Annals of Statistics, 7(1), 1-26. DOI ↗ | Sen, P. K. (1968). Estimates of the Regression Coefficient Based on Kendall's Tau. Journal of the American Statistical Association, 63(324), 1379-1389. DOI ↗ |
| Другие названия≠ | bootstrap, bootstrap resampling, nonparametric bootstrap, Bootstrap Çıkarımı | Theil-Sen Tahmincisi, Theil-Sen regression, median slope estimator, Sen's slope estimator |
| Связанные≠ | 5 | 6 |
| Сводка≠ | 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. | The Theil-Sen estimator is a robust linear regression method that estimates the slope as the median of the slopes computed over all pairs of data points. Introduced by Henri Theil in 1950 and extended by P. K. Sen in 1968, it tolerates outliers in the response with a breakdown point of about 29%. |
| ScholarGateНабор данных ↗ |
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