Study of the Method for Verification of the Hypothesis on Independence of Two-Dimensional Random Quantities Using a Nonparametric Classifier
Author:
Publisher
Allerton Press
Subject
Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation
Link
https://link.springer.com/content/pdf/10.3103/S8756699021060078.pdf
Reference24 articles.
1. V. S. Pugachev, Theory of Probability and Mathematical Statistics (Fizmatlit, Moscow, 2002).
2. A. V. Lapko and V. A. Lapko, ‘‘Nonparametric algorithms of pattern recognition in the problem of testing a statistical hypothesis on identity of two distribution laws of random variables,’’ Optoelectron., Instrum. Data Process. 46, 545–550 (2010). https://doi.org/10.3103/S8756699011060069
3. A. V. Lapko and V. A. Lapko, ‘‘Comparison of empirical and theoretical distribution functions of a random variable on the basis of a nonparametric classifier,’’ Optoelectron., Instrum. Data Process. 48, 37–41 (2012). https://doi.org/10.3103/S8756699012010050
4. A. V. Lapko and V. A. Lapko, ‘‘A technique for testing hypotheses for distributions of multidimensional spectral data using a nonparametric pattern recognition algorithm,’’ Comput. Optics 43, 238–244 (2019). https://doi.org/10.18287/2412-6179-2019-43-2-238-244
5. A. V. Lapko and V. A. Lapko, ‘‘Testing the hypothesis of the independence of two-dimensional random variables using a nonparametric algorithm for pattern recognition,’’ Optoelectron., Instrum. Data Process. 57, 149–155 (2021). https://doi.org/10.3103/S8756699021020114
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