Yale STAT 619 - A Note on a Method for the Analysis of Significances en masse (10 pages)

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A Note on a Method for the Analysis of Significances en masse



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A Note on a Method for the Analysis of Significances en masse

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Lecture Notes


Pages:
10
School:
Yale University
Course:
Stat 619 - Statistical Decision Theory in Modern Statistical Mehtodology
Statistical Decision Theory in Modern Statistical Mehtodology Documents

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A Note on a Method for the Analysis of Significances en masse Paul Seeger Technometrics Vol 10 No 3 Aug 1968 pp 586 593 Stable URL http links jstor org sici sici 0040 1706 28196808 2910 3A3 3C586 3AANOAMF 3E2 0 CO 3B2 J Technometrics is currently published by American Statistical Association Your use of the JSTOR archive indicates your acceptance of JSTOR s Terms and Conditions of Use available at http www jstor org about terms html JSTOR s Terms and Conditions of Use provides in part that unless you have obtained prior permission you may not download an entire issue of a journal or multiple copies of articles and you may use content in the JSTOR archive only for your personal non commercial use Please contact the publisher regarding any further use of this work Publisher contact information may be obtained at http www jstor org journals astata html Each copy of any part of a JSTOR transmission must contain the same copyright notice that appears on the screen or printed page of such transmission JSTOR is an independent not for profit organization dedicated to and preserving a digital archive of scholarly journals For more information regarding JSTOR please contact support jstor org http www jstor org Mon Apr 16 20 14 45 2007 VOL 10 No 3 A Note on a Method for the Analysis of Significances en masse PAULSEEGER University of Uppsalu Sweden This note concerns the derivation of the p mean significance levels in the case of independent tests for a mass significance method developed by Eklund I The solution is reached by formulating and solving an urn problem Some comparisons are made with the p mean significance levela of Duncan s multiple range test I n three seminar papers from 1961 1963 l Eklund suggested the following solution to what he called the mass significance problem I n large exploratory investigations it is desirable to keep the proportion of false significances low a t most equal to a small value k Consider therefore the variable i number of false



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