Hostname: page-component-78c5997874-ndw9j Total loading time: 0 Render date: 2024-11-13T03:29:57.265Z Has data issue: false hasContentIssue false
  • English
  • Français

Central Limit Theorem for Absolute Deviations from the Sample Mean and Applications

Published online by Cambridge University Press:  20 November 2018

D. L. McLeish
D. L. McLeish*
Affiliation:
Department of Mathematics, The University of Alberta, Edmonton, Alberta T6G 2G1
Rights & Permissions [Opens in a new window]

Extract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

The following type of argument is rendered almost believable by its frequent occurrence in elementary courses in statistics. Let ξi be a sequence of independent identically distributed random variables with means μ variances σ2.

Type
Research Article
Information
Canadian Mathematical Bulletin , Volume 22 , Issue 4 , 01 December 1979 , pp. 391 - 396
Copyright
Copyright © Canadian Mathematical Society 1979

References

1. Londhe, A. R. (1976), The Limiting Distribution of the Measure of A Random Set. Thesis: U. of Alberta.Google Scholar
2. Votaw, D. F. (1946), The Probability Distribution of the Measure of A Random Linear Set. Annals of Math. Statist. 17, 240-244.Google Scholar