ScholarGate
어시스턴트

방법 비교

선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.

강건 ANCOVA×강건 독립 표본 t-검정×
분야통계학통계학
계열Hypothesis testHypothesis test
기원 연도1990s–2000s1974–1990s
창시자Rand R. Wilcox and colleaguesRand R. Wilcox; Karen K. Yuen (trimmed-mean form)
유형Robust parametric covariate-adjusted comparisonRobust parametric mean comparison
원전Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838
별칭robust ANCOVA, heteroscedastic ANCOVA, trimmed-mean ANCOVA, resistant ANCOVAYuen's t-test, trimmed-mean t-test, Winsorized t-test, robust two-sample test
관련42
요약Robust ANCOVA is a covariate-adjusted group comparison that replaces classical ANCOVA's ordinary least squares estimation with resistant methods — typically trimmed means or M-estimators — so that the test retains valid Type I error control and reasonable power when data contain outliers, heavy-tailed distributions, or heteroscedastic errors.The robust independent samples t-test compares the central tendency of two independent groups using trimmed means and Winsorized variances, making it substantially less sensitive to outliers and non-normality than the classical Student or Welch t-test. The most widely used form is Yuen's test, which also accommodates unequal variances across groups.
ScholarGate데이터셋
  1. v1
  2. 2 출처
  3. PUBLISHED
  1. v1
  2. 2 출처
  3. PUBLISHED

검색으로 이동 슬라이드 다운로드

ScholarGate방법 비교: Robust ANCOVA · Robust independent samples t-test. 2026-06-18에 다음에서 검색함: https://scholargate.app/ko/compare