Linganisha mbinu

	Utoaji wa Hitimisho kwa Njia ya Bootstrap	Mbinu ya kusampuli upya ya jackknife
Nyanja	Takwimu	Takwimu
Familia	Regression model	Regression model
Mwaka wa asili	1979	1956
Mwanzilishi	Bradley Efron	Quenouille (1956); reviewed by Miller (1974)
Aina	Resampling-based inference	Resampling / bias and variance estimation
Chanzo asilia	Efron, B. (1979). Bootstrap Methods: Another Look at the Jackknife. Annals of Statistics, 7(1), 1-26.	Quenouille, M. H. (1956). Notes on Bias in Estimation. Biometrika, 43(3/4), 353-360.
Majina mbadala	bootstrap, bootstrap resampling, nonparametric bootstrap, Bootstrap Çıkarımı	leave-one-out resampling, Quenouille-Tukey jackknife, delete-one jackknife, Jackknife Yeniden Örnekleme
Zinazohusiana	5	5
Muhtasari	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 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.