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Statistical Papers
Volumn 52, Issue 1, 2011, Pages 219-231
The two-sample t test: Pre-testing its assumptions does not pay off
Author keywords

Pre tests; Two sample t test; Welch test; Wilcoxon U test
Indexed keywords

EID: 79951770646     PISSN: 09325026     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00362-009-0224-x     Document Type: Article
Times cited : (164)
References (13)
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    • Kolmogorov, A.V.1
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    • Mann, H.B.1    Whitney, D.R.2
  • 6
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    • Moser BK, Stevens GR (1992) Homogeneity of variance in the two-sample means test. Am Stat 46: 19-21.
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    • Moser, B.K.1    Stevens, G.R.2
  • 7
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    • The robustness of parametric statistical methods
    • Rasch D, Guiard V (2004) The robustness of parametric statistical methods. Psychol Sci 46: 175-208.
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    • Rasch, D.1    Guiard, V.2
  • 8
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    • How robust are tests for two independent samples?
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    • Rasch, D.1    Teuscher, F.2    Guiard, V.3
  • 10
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    • Preliminary goodness-of-fit tests for normality do not validate the one-sample Student t
    • Schucany WR, Ng HKT (2006) Preliminary goodness-of-fit tests for normality do not validate the one-sample Student t. Commun Stat Theory Methods 35: 2275-2286.
    • (2006) Commun Stat Theory Methods , vol.35 , pp. 2275-2286
    • Schucany, W.R.1    Ng, H.K.T.2
  • 11
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    • On the estimation of the discrepancy between empirical curves of distribution for two independent samples
    • Smirnov VI (1939) On the estimation of the discrepancy between empirical curves of distribution for two independent samples. Bull Math Univ Moscou 2: 3-14.
    • (1939) Bull Math Univ Moscou , vol.2 , pp. 3-14
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    • Wilcoxon, F.1

* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.