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This article is cited in 1 scientific paper (total in 1 paper)
Intellectual Control Systems, Data Analysis
On confidence estimation based on quantitative similarity coefficients
I. V. Rodionovab, A. N. Sozontovc a Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia
b Steklov Mathematical Institute, Russian Academy of Sciences, Moscow, Russia
c Institute of Plant and Animal Ecology, Ural Branch of the Russian Academy of Sciences,
Yekaterinburg, Russia
Abstract:
We consider the problem of estimating the accuracy of quantitative similarity coefficients. For this purpose, we introduce a new concept of the similarity measure for the corresponding coefficient. We show that only frequency forms of quantitative similarity coefficients represent consistent estimates of their similarity measures. We obtain asymptotic confidence intervals for the Ružička and Bray–Curtis similarity measures based on the coefficients with the same names. We also propose a test for homogeneity of two populations based on the above-mentioned coefficients.
Keywords:
similarity coefficient, confidence estimation, test for homogeneity, Bray–Curtis index, Jaccard index.
Citation:
I. V. Rodionov, A. N. Sozontov, “On confidence estimation based on quantitative similarity coefficients”, Avtomat. i Telemekh., 2020, no. 2, 157–172; Autom. Remote Control, 81:2 (2020), 320–332
Linking options:
https://www.mathnet.ru/eng/at15451 https://www.mathnet.ru/eng/at/y2020/i2/p157
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Abstract page: | 217 | Full-text PDF : | 44 | References: | 27 | First page: | 18 |
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