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Start Over Search Limiters Academic (Peer-Reviewed) Journals Topic covid-19 Publication Year Range Last 10 years Publication Type Periodicals Publisher taylor & francis ltd

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1. Exploring COVID Data with Benford's and Zipf's Laws.

Author

Velleman, Paul and Wainer, Howard

Subjects
*ZIPF'S law, *BENFORD'S law (Statistics), *COVID-19, *COVID-19 pandemic
Abstract

John von Neumann emphasized the importance of models in science. In this paper we compare the efficacy and ease of use of two quite different models, Benford's Law and a version of Zipf's Law to help us to understand the data that have rained upon us from the COVID pandemic. We conclude that Zipf's Law seems to have much to offer. We recommend it and urge others to try it out. Benford's Law, not so much. [ABSTRACT FROM AUTHOR]

Published
2022
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