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    Nonparametric Estimate of a Parzen-Type Probability Density with an Implicitly Specified Form of the Kernel
[Text] / A. V. Lapko, V. A. Lapko // Meas. Tech. - 2016. - Vol. 59, Is. 6. - P571-576, DOI 10.1007/s11018-016-1010-5. - Cited References:8. - This work was carried out within the framework of the project part of State Assignment of Ministry of Education and Science of Russia (No. 2.914.2014/K). . - ISSN 0543-1972. - ISSN 1573-8906
РУБ Engineering, Multidisciplinary + Instruments & Instrumentation

Аннотация: A nonparametric estimate for the probability density is proposed with better approximation properties than the traditional Rosenblatt-Parzen statistics. The dependences of its properties on the form of the kernel function and on the formulas for the sampling interval for the random quantity are discussed.

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Держатели документа:
Russian Acad Sci, Inst Computat Modelling, Siberian Branch, Krasnoyarsk, Russia.
Siberian State Aerosp Univ, Krasnoyarsk, Russia.

Доп.точки доступа:
Lapko, A. V.; Lapko, V. A.; State Assignment of Ministry of Education and Science of Russia [2.914.2014/K]
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    Comparison of the Efficiency of Methods of Digitizing the Range of Values of Dependent Random Variables During Synthesis of a Nonparametric Assessment of Two-Dimensional Probability Density
[Text] / A. V. Lapko, V. A. Lapko // Meas. Tech. - 2017. - Vol. 60, Is. 4. - P325-330, DOI 10.1007/s11018-017-1196-1. - Cited References:9. - This work was conducted within the design section of State Assignment of the Ministry of Education and Science of Russia No. 2.914.2014/K and the Program of the Siberian Branch of the Russian Academy of Sciences IV.35.1. . - ISSN 0543-1972. - ISSN 1573-8906
РУБ Engineering, Multidisciplinary + Instruments & Instrumentation

Аннотация: Optimal and heuristic methods of digitizing the range of values of a two-dimensional random variable are compared. Conditions of the scope of these methods are defined in re-establishing the normal law of distribution of two dependent random variables. Results of computational tests are examined.

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Держатели документа:
RAS, SB, ICM, Krasnoyarsk, Russia.
Reshetnev Siberian State Aerosp Univ, Krasnoyarsk, Russia.

Доп.точки доступа:
Lapko, A. V.; Lapko, V. A.; Program of the Siberian Branch of the Russian Academy of Sciences [IV.35.1]
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    Effectiveness comparison of sampling methods of a range of values of a two-dimensional random value at probability density estimation
/ A. V. Lapko, V. A. Lapko, E. A. Yuronen // 2017 International Siberian Conference on Control and Communications, SIBCON 2017 - Proceedings. - 2017. - 2017 International Siberian Conference on Control and Communications, SIBCON 2017 (29 June 2017 through 30 June 2017, ) Conference code: 129746, DOI 10.1109/SIBCON.2017.7998533 . -
Аннотация: Optimum and heuristic sampling methods of a range of values of a two-dimensional random value are investigated. Conditions of their competence at recovery of the normal distribution law of two independent random values are defined. © 2017 IEEE.

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Держатели документа:
Institute of Computer Modelling SB RAS, Reshetnev Siberian State Aerospace University, Krasnoyarsk, Russian Federation
Reshetnev Siberian State Aerospace University, Siberian Federal University, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Lapko, A. V.; Lapko, V. A.; Yuronen, E. A.
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    Modification of Nonparametric Probability Density Estimation of Parzen's Type with Implicitly Given form of Kernel Function
/ A. V. Lapko, V. A. Lapko, E. A. Yuronen // 2018 INTERNATIONAL SCIENTIFIC MULTI-CONFERENCE ON INDUSTRIAL ENGINEERING : IEEE, 2018. - International Scientific Multi-Conference on Industrial Engineering and (OCT 02-04, 2018, Vladivostok, RUSSIA). - Cited References:31 . - ISBN 978-1-5386-9535-7
РУБ Engineering, Industrial

Аннотация: The new nonparametric probability density estimation based on use of the smoothing operator is offered and investigated. It has smaller dispersion in comparison with probability density estimation like Rosenblatt-Parzen.

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Держатели документа:
Reshetnev Siberian State Univ Sci & Technol, Inst Comp Modelling SB RAS, Krasnoyarsk, Russia.
Reshetnev Siberian State Univ Sci & Technol, Siberian Fed Univ, Krasnoyarsk, Russia.

Доп.точки доступа:
Lapko, Aleksandr V.; Lapko, Vasiliy A.; Yuronen, Ekaterina A.
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    Modification of Nonparametric Probability Density Estimation of Parzen's Type with Implicitly Given form of Kernel Function
/ A. V. Lapko, V. A. Lapko, E. A. Yuronen // 2018 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2018 : Institute of Electrical and Electronics Engineers Inc., 2019. - 2018 International Multi-Conference on Industrial Engineering and Modern Technologies, FarEastCon 2018 (3 October 2018 through 4 October 2018, ) Conference code: 144272, DOI 10.1109/FarEastCon.2018.8602807 . -
Аннотация: The new nonparametric probability density estimation based on use of the smoothing operator is offered and investigated. It has smaller dispersion in comparison with probability density estimation like Rosenblatt-Parzen. © 2018 IEEE.

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Держатели документа:
Institute of Computer Modelling SB RAS, Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russian Federation
Reshetnev Siberian State University of Science and Technology, Siberian Federal University, Krasnoyarsk, Russian Federation

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