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Bootstrap Parametrik×Ujian Permutasi (Pemerolehan Rawak)×
BidangStatistikStatistik
KeluargaRegression modelRegression model
Tahun asal19932005
PengasasEfron & Tibshirani; Davison & HinkleyGood (2005); Edgington & Onghena (2007); resampling tradition
JenisResampling-based inference (model-based)Nonparametric resampling test
Sumber perintisEfron, B. & Tibshirani, R. J. (1993). An Introduction to the Bootstrap. CRC Press. ISBN: 978-0412042317Good, P. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses (3rd ed.). Springer. ISBN: 978-0387202792
Aliasparametrik bootstrap, model-based bootstrap, parametric resamplingrandomization test, exact permutation test, re-randomization test, Permütasyon Testi
Berkaitan55
RingkasanThe 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 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.
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ScholarGateBandingkan kaedah: Parametric Bootstrap · Permutation Test. Dicapai 2026-06-15 daripada https://scholargate.app/ms/compare