ScholarGate
सहायक

विधियों की तुलना करें

चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।

पुष्ट एक-नमूना t-परीक्षण (ट्रिम्ड माध्य)×मजबूत स्वतंत्र नमूना टी-परीक्षण×
क्षेत्रसांख्यिकीसांख्यिकी
परिवारHypothesis testHypothesis test
उद्भव वर्ष1970s–2000s1974–1990s
प्रवर्तकRand R. Wilcox (extending Yuen's trimmed-mean approach)Rand R. Wilcox; Karen K. Yuen (trimmed-mean form)
प्रकारRobust parametric mean comparisonRobust parametric mean comparison
मौलिक स्रोतWilcox, 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
उपनामone-sample trimmed mean test, Yuen one-sample test, robust one-sample location test, trimmed mean t-testYuen's t-test, trimmed-mean t-test, Winsorized t-test, robust two-sample test
संबंधित42
सारांशThe 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 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.
ScholarGateडेटासेट
  1. v1
  2. 2 स्रोत
  3. PUBLISHED
  1. v1
  2. 2 स्रोत
  3. PUBLISHED

खोज पर जाएँ स्लाइड डाउनलोड करें

ScholarGateविधियों की तुलना करें: Robust one-sample t-test · Robust independent samples t-test. 2026-06-18 को यहाँ से प्राप्त https://scholargate.app/hi/compare