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Volumn 38, Issue 11, 2009, Pages 1792-1803

Hypothesis testing for equivalence defined on symmetric open intervals

Author keywords

Equivalency; Hypothesis testing; Non central chi square; Non central F; Power; TOST

Indexed keywords

APPROXIMATE METHODS; EXISTING METHOD; GENERIC DRUGS; GOVERNMENT REGULATION; HYPOTHESIS TESTING; NOVEL METHODS; NULL HYPOTHESIS; PRODUCT MODIFICATION;

EID: 70449625441     PISSN: 03610926     EISSN: 1532415X     Source Type: Journal    
DOI: 10.1080/03610920802460787     Document Type: Article
Times cited : (16)

References (17)
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  • 3
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  • 8
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    • Non central and central chi-square, F and beta distribution functions as special cases of the distribution function of an indefinite quadratic form
    • Ennis, D. M., Johnson N. L. (1993). Non central and central chi-square, F and beta distribution functions as special cases of the distribution function of an indefinite quadratic form. Commun. Statist. Theor. Meth. 22:897-905.
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    • Ennis, D.M.1    Johnson, N.L.2
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    • Computing the distribution of quadratic forms in normal variables
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  • 13
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    • Testing average equivalence: Finding a compromise between theory and practice
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    • Munk, A.1    Hwang, J.T.2    Brown, L.D.3
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    • On hypothesis testing to determine if the mean of a normal distribution is contained in a known interval
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  • 16
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    • Symmetric confidence intervals for bioequivalency trials
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    • Response to T.B.L. Kirkwood: Bioequivalency testing - A need to rethink
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    • Westlake, W.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.