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Journal of Automation and Information Sciences

Publicado 12 números por año

ISSN Imprimir: 1064-2315

ISSN En Línea: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

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Nonparametric Criterion of Equivalence of General Populations Based on Averaged Measure of Closeness Between Samplings

Volumen 42, Edición 10, 2010, pp. 26-31
DOI: 10.1615/JAutomatInfScien.v42.i10.30
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SINOPSIS

We propose averaged measure of closeness between samples and prove the theorem that asymptotic level of significance of its confidence interval does not exceed 0.05. On the basis of the suggested measure of closeness nonparametric criterion of equivalence of general populations was constructed.

REFERENCIAS
  1. Klyushin D.A., Petunin Yu.I., Nonparametric equivalence criterion for general assemblages based on measure of closeness between samples.

  2. Hill B.M., Posterior distribution of percentiles: Bayes’ theorem for sampling from a population.

  3. Madreimov I., Petunin Yu.I., Characterization of uniform distribution by means of order statistics.

  4. Andrushkiw R.I., Klyushin D.A., Petunin Yu.I., Lysyuk V.N., Construction of the bulk of general population in the case of exchangeable sample values.

  5. Van der Waerden B.L., Mathematical statistics.

  6. Matveichuk S.A., Petunin Yu.I., The generalized Bernoulli schemes appearing in variational statistics, I.

  7. Matveichuk S.A., Petunin Yu.I., The generalized Bernoulli schemes appearing in variational statistics, II.

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CITADO POR
  1. Klyushin Dmitriy, Golubeva Kateryna, Nonparametric Two-Sample Heterogeneity Test for Continuous Fuzzy Data, 2021 IEEE 3rd International Conference on Advanced Trends in Information Theory (ATIT), 2021. Crossref

  2. Klyushin Dmitriy, Golubeva Kateryna, Nonparametric Multiple Comparison Test for Change-Point Detection in Big Data, 2020 IEEE 2nd International Conference on Advanced Trends in Information Theory (ATIT), 2020. Crossref

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