Comparison of empirical and theoretical distribution functions of a random variable on the basis of a nonparametric classifier

Author:

Lapko A. V.,Lapko V. A.

Publisher

Allerton Press

Subject

Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference6 articles.

1. 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,” Avtometriya 46(6), 47–53 (2010) [Optoelectr., Instrum. Data Process. 46 (6), 545–550 (2010).]

2. A. V. Lapko and V. A. Lapko, “Application of a Nonparametric Algorithm of Pattern Recognition in the Problem of Testing the Hypothesis on Distributions of Random Variables,” Sist. Upravl. Informats. Tekhnol. 41(3), 8–11 (2010).

3. V. S. Pugachev, Probability Theory and Mathematical Statistics (Nauka, Moscow, 1979) [in Russian].

4. A. V. Lapko, V. A. Lapko, M. I. Sokolov, and S. V. Chentsov, Nonparametric Classification Systems (Nauka, Novosibirsk, 2000) [in Russian].

5. E. Parzen, “On Estimation of a Probability Density Function and Mode,” Ann. Math. Statist. 33(3), 1065–1076 (1962).

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