An improved asymptotic test for the Jaccard similarity index for binary data

Scott H. Koeneman and Joseph E. Cavanaugh

Statistics & Probability Letters, 2022, vol. 184, issue C

Abstract: For paired binary data, we propose a new asymptotic test of independence for the Jaccard index. As demonstrated, the test offers marked improvements in maintaining nominal Type I error rates, and exhibits higher power when these error rates are comparable.

Keywords: Association measures; Bernoulli distribution; Binary data; Jaccard index; Multinomial distribution (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (3)

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DOI: 10.1016/j.spl.2022.109375

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