Application of a nonparametric procedure for testing the hypothesis about the independence of random variables given a large amount of statistical data

Author:

Lapko A. V.ORCID,Lapko V. A.ORCID,Bakhtina A. V.

Publisher

Springer Science and Business Media LLC

Reference26 articles.

1. Pugachev, V.S.: Teoriya Veroyatnostej i Matematicheskaya Statistika [Probability Theory and Mathematical Statistics; in Russian], study guide. Fizmatlit Publ, Moscow (2002)

2. Lapko, A.V., Lapko, V.A., Bakhtina, A.V.: Optoelectron. Instrum. Data Process., 57. No 6, 639–648 (2022). https://doi.org/10.3103/S8756699021060078

3. Lapko, A.V., Lapko, V.A., Bakhtina, A.V.: Meas. Tech. 65(1), 17–23 (2022). https://doi.org/10.1007/s11018-022-02043-2

4. Lapko, A.V., Lapko, V.A., Bakhtina, A.V.: Comparison of the methodology for hypothesis testing of the independence of two-dimensional random variables based on a nonparametric classifier. Sci. Tech. Inf. Process. (1), 45–56 (2022)

5. Lapko, A.V., Lapko, V.A.: Optoelectron. Instrum. Data Process., 50. No 2, 148–153 (2014). https://doi.org/10.3103/S875669901402006X

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