ScholarGate
Asisten

Bandingkan metode

Tinjau metode pilihan Anda berdampingan; baris yang berbeda akan disorot.

Bootstrap BCa (Bias-Corrected and Accelerated)×Uji Permutasi (Randomisasi)×
BidangStatistikaStatistika
KeluargaRegression modelRegression model
Tahun asal19872005
PencetusBradley EfronGood (2005); Edgington & Onghena (2007); resampling tradition
TipeResampling confidence intervalNonparametric resampling test
Sumber perintisEfron, B. (1987). Better Bootstrap Confidence Intervals. Journal of the American Statistical Association, 82(397), 171-185. DOI ↗Good, P. (2005). Permutation, Parametric and Bootstrap Tests of Hypotheses (3rd ed.). Springer. ISBN: 978-0387202792
AliasBCa Bootstrap (Bias-Corrected Accelerated), bias-corrected accelerated bootstrap, BCa confidence intervalrandomization test, exact permutation test, re-randomization test, Permütasyon Testi
Terkait55
RingkasanThe 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.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.
ScholarGateSet data
  1. v1
  2. 2 Sumber
  3. PUBLISHED
  1. v1
  2. 2 Sumber
  3. PUBLISHED

Ke halaman pencarian Unduh salindia

ScholarGateBandingkan metode: BCa Bootstrap · Permutation Test. Diakses 2026-06-15 dari https://scholargate.app/id/compare