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The decline and fall of Type II error ratesAuthor(s): S. P. Verrill; Mark Durst
Source: American statistician. Vol. 59, no. 4 (Nov. 2005): pages 287-291.
Publication Series: Miscellaneous Publication
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DescriptionFor general linear models with normally distributed random errors, the probability of a Type II error decreases exponentially as a function of sample size. This potentially rapid decline reemphasizes the importance of performing power calculations.
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CitationVerrill, S. P.; Durst, Mark. 2005. The decline and fall of Type II error rates. American statistician. Vol. 59, no. 4 (Nov. 2005): pages 287-291.
KeywordsAsymptotic relative efficiency, experimental design, Hodges-Lehmann efficiency, linear models, Mills’ ratio, minimum detectable difference, noncentral F, normal tail, Pitman efficiency, power, sample size
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