A non-monotonic convergence analysis of population clusters of random numbers.

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dc.contributor.authorObabueki, B. E.
dc.contributor.authorReju, S. A.
dc.date.accessioned2013-09-13T14:56:16Z
dc.date.available2013-09-13T14:56:16Z
dc.date.issued2012
dc.description.abstractThe standard deviation of a population (of size N ) is a measure of the spread of the population observations about the mean. A population may be clustered and the standard deviation of each cluster calculated. This paper looked at how the mean of the standard deviations of the clusters of a population of random numbers relate to the standard deviation of the population as the size of the clusters increased. We assumed that all clusters have the same size.en_US
dc.identifier.citationObabueki, B. E., & Reju, S. A. (2012). A non-monotonic convergence analysis of population clusters of random numbers. PROGRESS Multi-disciplinary Research Journal, 2(1), 43-50.en_US
dc.identifier.issn2026-7096
dc.identifier.urihttp://hdl.handle.net/10628/405
dc.language.isoenen_US
dc.publisherNUSTen_US
dc.subjectStandard deviation of populationen_US
dc.subjectPopulation clustersen_US
dc.subjectSequence of means of standard deviationsen_US
dc.subjectShort-cut estimatesen_US
dc.subjectProximityen_US
dc.subjectCluster sizeen_US
dc.subjectEstimation of standard deviationen_US
dc.subjectRandomly generated numbersen_US
dc.subjectNon-monotonic convergenceen_US
dc.subjectConvergence simulationen_US
dc.titleA non-monotonic convergence analysis of population clusters of random numbers.en_US
dc.typeArticleen_US

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