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A Note on “Limit Distributions of Self-Normalized Sums” Using Cauchy-Generated Samples
Department of Mathematics and Statistics, Brock University, St. Catharines, Canada
- 1 Department of Mathematics and Statistics, Brock University, St. Catharines, Canada
Applied Mathematics·Volume 10 (2019)·Pages 863–875·Published 24 October 2019·DOI10.4236/am.2019.1011062
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Abstract
In this case study, we would like to illustrate the utility of characteristic functions, using an example of a sample statistic defined for samples from Cauchy distribution. The derivation of the corresponding asymptotic probability density function is based on [1], elaborating and expanding the individual steps of their presentation, and including a small extension; our reason for such a plagiarism is to make the technique, its mathematical tools and ingenious arguments available to the widest possible audience.
KeywordsSelf-Normalized SumCauchy DistributionCharacteristic FunctionsFourier TransformPadéApproximation
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