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Найдено документов в текущей БД: 2

    Estimation of Parameters of the Formula for Optimal Discretization of the Range of Values of a Two-Dimensional Random Variable
/ A. V. Lapko, V. A. Lapko // Meas. Tech. - 2018. - Vol. 61, Is. 5. - P427-433, DOI 10.1007/s11018-018-1447-9 . - ISSN 0543-1972
Аннотация: Methods for estimating the parameters of the formula for the optimal discretization of the domain of determining the probability density of a two-dimensional random variable are considered. The properties of the proposed methods are investigated and the conditions for their validity are determined. © 2018, Springer Science+Business Media, LLC, part of Springer Nature.

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Держатели документа:
Institute of Computational Modeling, Siberian Branch, Russian Academy of Sciences (ICM SB RAS), Krasnoyarsk, Russian Federation
Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Lapko, A. V.; Lapko, V. A.

    Selection of the Blur Coefficient for Probability Density Kernel Estimates Under Conditions of Large Samples
/ A. V. Lapko, V. A. Lapko // Meas. Tech. - 2019, DOI 10.1007/s11018-019-01634-w . - Article in press. - ISSN 0543-1972
Аннотация: A fast algorithm is proposed for choosing the blur factors of kernel functions of a non-parametric probability density estimate under conditions of large-scale statistical data. It is shown that the basis of the algorithm is the result of a study of the asymptotic properties of a new kernel probability density estimate. The properties of the developed algorithm are analyzed and the method of its application is formulated. © 2019, Springer Science+Business Media, LLC, part of Springer Nature.

Scopus,
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Держатели документа:
Institute of Computational Modeling, Siberian Branch of the Russian Academy of Sciences, Krasnoyarsk, Russian Federation
Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Lapko, A. V.; Lapko, V. A.