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JOURNALS // Avtomatika i Telemekhanika // Archive

Avtomat. i Telemekh., 2020 Issue 2, Pages 157–172 (Mi at15451)

This article is cited 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.

Presented by the member of Editorial Board: E. Ya. Rubinovich

Received: 16.04.2019
Revised: 07.07.2019
Accepted: 18.07.2019

DOI: 10.31857/S0005231020020105


 English version:
Automation and Remote Control, 2020, 81:2, 320–332

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© Steklov Math. Inst. of RAS, 2024