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Volumn 79, Issue 2, 2005, Pages 179-187

Development of an efficient SAS® macro to perform permutation tests for two independent samples

Author keywords

Difference in means; Exact probability; Permutation tests; Randomization

Indexed keywords

COMPUTATIONAL COMPLEXITY; DATA REDUCTION; ERROR ANALYSIS; PROBABILITY;

EID: 22044446687     PISSN: 01692607     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cmpb.2005.03.010     Document Type: Article
Times cited : (4)

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    • The coefficient of racial likeness and the future of craniometry
    • R.A. Fisher The coefficient of racial likeness and the future of craniometry J. R. Anthropol. Soc. 66 1936 57 63
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    • Fisher, R.A.1
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    • Berger, Pros and Cons of permutation tests in clinical trials
    • W. Vance Berger, Pros and Cons of permutation tests in clinical trials Stat. Med. 19 2000 1319 1328
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    • Vance, W.1
  • 12
    • 0033241810 scopus 로고    scopus 로고
    • An empirical comparison of permutation methods for tests of partial regression coefficients in a linear model
    • M.J. Andersen, and P. Legendre An empirical comparison of permutation methods for tests of partial regression coefficients in a linear model J. Stat. Comput. Simulat. 62 3 1999 271 303
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    • Andersen, M.J.1    Legendre, P.2
  • 13
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    • Fast permutation tests that maximize power under conventional Monte Carlo sampling for pair-wise and multiple comparisons
    • J.D. Opdyke Fast permutation tests that maximize power under conventional Monte Carlo sampling for pair-wise and multiple comparisons J. Appl. Stat. Methods 2 1 2003 27 49
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    • Monte Carlo evaluation of resampling based hypothesis tests
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    • Boos, D.1    Zhang, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.