ScholarGate
어시스턴트

방법 비교

선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.

강건 단일 표본 t-검정 (절삭 평균)×강건 쌍표본 t-검정 (Robust Paired Samples t-test)×
분야통계학통계학
계열Hypothesis testHypothesis test
기원 연도1970s–2000s1974
창시자Rand R. Wilcox (extending Yuen's trimmed-mean approach)K. K. Yuen; extended by Rand R. Wilcox
유형Robust parametric mean comparisonRobust parametric mean comparison
원전Wilcox, R. R. (2012). Introduction to Robust Estimation and Hypothesis Testing (3rd ed.). Academic Press. ISBN: 978-0123869838Yuen, K. K. (1974). The two-sample trimmed t for unequal population variances. Biometrika, 61(1), 165–170. DOI ↗
별칭one-sample trimmed mean test, Yuen one-sample test, robust one-sample location test, trimmed mean t-testtrimmed-mean paired t-test, Yuen paired t-test, robust dependent-samples t-test, trimmed paired comparison
관련43
요약The robust one-sample t-test replaces the ordinary mean with a trimmed mean and the sample variance with a Winsorized variance to compare a population location against a hypothesized value. It retains the t-test decision framework while sharply reducing sensitivity to outliers and heavy-tailed distributions, making it reliable in real-world continuous data that deviate from normality.The 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.
ScholarGate데이터셋
  1. v1
  2. 2 출처
  3. PUBLISHED
  1. v1
  2. 2 출처
  3. PUBLISHED

검색으로 이동 슬라이드 다운로드

ScholarGate방법 비교: Robust one-sample t-test · Robust paired samples t-test. 2026-06-17에 다음에서 검색함: https://scholargate.app/ko/compare