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The decline and fall of Type II error ratesAuthor(s): Steve Verrill; Mark Durst
Source: Research Paper FPL-RP-628. Madison, WI: U.S. Department of Agriculture, Forest Service, Forest Products Laboratory. 11 p.
Publication Series: Research Paper (RP)
Station: Forest Products Laboratory
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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, Steve; Durst, Mark. 2005. The decline and fall of Type II error rates. Research Paper FPL-RP-628. Madison, WI: U.S. Department of Agriculture, Forest Service, Forest Products Laboratory. 11 p.
KeywordsPower, sample size, linear models, experimental design, noncentral F, normal tail, Mills’ ratio, asymptotic relative efficiency, Hodges-Lehmann efficiency, Pitman efficiency, minimum detectable difference
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