用本福德定律和齐夫定律探索COVID数据

Chance (New York, N.Y.) Pub Date : 2022-04-03 DOI:10.1080/09332480.2022.2066410

P. Velleman, H. Wainer

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引用次数: 0

摘要

约翰·冯·诺伊曼强调了模型在科学中的重要性。在本文中，我们比较了本福德定律(Benford’s Law)和齐夫定律(Zipf’s Law)这两种完全不同的模型的有效性和易用性，以帮助我们理解COVID大流行带来的大量数据。我们得出结论，齐夫定律似乎有很多东西可以提供。我们推荐它，并敦促其他人尝试一下。本福德定律则不然。

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Exploring COVID Data with Benford’s and Zipf’s Laws

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.

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Chance (New York, N.Y.)

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