ScholarGate
Asisten

Bandingkan metode

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

Uji-t Sampel Berpasangan yang Robust×Uji-t Sampel Berpasangan×
BidangStatistikaStatistika
KeluargaHypothesis testHypothesis test
Tahun asal19741908
PencetusK. K. Yuen; extended by Rand R. WilcoxStudent (W. S. Gosset)
TipeRobust parametric mean comparisonParametric mean comparison
Sumber perintisYuen, K. K. (1974). The two-sample trimmed t for unequal population variances. Biometrika, 61(1), 165–170. DOI ↗Student (1908). The probable error of a mean. Biometrika, 6(1), 1–25. DOI ↗
Aliastrimmed-mean paired t-test, Yuen paired t-test, robust dependent-samples t-test, trimmed paired comparisondependent t-test, matched pairs t-test, repeated measures t-test, within-subjects t-test
Terkait33
RingkasanThe robust paired samples t-test replaces arithmetic means with trimmed means and Winsorized variance to compare two related measurements while resisting the distorting influence of outliers and non-normal distributions, producing reliable inference where the classic paired t-test breaks down.The paired samples t-test is a parametric hypothesis test that compares the means of two related measurements from the same subjects or matched pairs to determine whether the average difference is significantly different from zero. It leverages the dependency between observations to produce a more powerful test than its independent-samples counterpart.
ScholarGateSet data
  1. v1
  2. 2 Sumber
  3. PUBLISHED
  1. v1
  2. 2 Sumber
  3. PUBLISHED

Ke halaman pencarian Unduh salindia

ScholarGateBandingkan metode: Robust paired samples t-test · Paired samples t-test. Diakses 2026-06-18 dari https://scholargate.app/id/compare