A non-monotonic convergence analysis of population clusters of random numbers.
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Date
2012
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
NUST
Abstract
The 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.
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Keywords
Standard deviation of population, Population clusters, Sequence of means of standard deviations, Short-cut estimates, Proximity, Cluster size, Estimation of standard deviation, Randomly generated numbers, Non-monotonic convergence, Convergence simulation
Citation
Obabueki, 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.