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http://ir.nust.na:8080/jspui/handle/10628/405| Title: | A non-monotonic convergence analysis of population clusters of random numbers. |
| Authors: | Obabueki, B. E. Reju, S. A. |
| 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 |
| Issue Date: | 2012 |
| Publisher: | NUST |
| 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. |
| 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. |
| URI: | http://hdl.handle.net/10628/405 |
| ISSN: | 2026-7096 |
| Appears in Collections: | Mathematics & Statistics |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Obabueki. A non-monotonic convergence analysis of population.pdf | 222.26 kB | Adobe PDF | View/Open |
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