OPTIMIZATION OF SMOOTHING PARAMETER BY KERNEL ESTIMATION OF PROBABILITY DENSITY DISTRIBUTION

Authors

  • Igor Prokopenko National Aviation University
  • Igor Martynchuk National Aviation University

DOI:

https://doi.org/10.18372/2306-1472.61.7592

Keywords:

kernel estimation of probability density distribution, probability density distribution, smoothing parameter

Abstract

In this paper the problem smoothing parameter choice for probability density kernel estimation isconsidered. The task of optimal smoothing parameter search according to predetermined criteria is formulated.

Author Biographies

Igor Prokopenko, National Aviation University

Prokopenko Igor.Doctor of Engineering. Professor.Aviation radio-electronic complexes department, National Aviation University, Kyiv, Ukraine.Education: Kyiv institute of engineers of civil aviation, Kyiv, Ukraine.Research area: Signal and data processing.

Igor Martynchuk, National Aviation University

Martynchuk Igor.Engineer. Aviation radio-electronic complexes department, National Aviation University, Kyiv, Ukraine.Education: National Aviation University, Kyiv, Ukraine.Research area: Signal and data processing.

References

Devroye L., Gyorfi L. – Nonparametric Density Estimation: The L1 View. John Wiley & Sons, New York, 1985. (in Russian).

Demidenko E. Z. – Linear and nonlinear regression, Moscow: Finansy i statistika, 1981, 302 p. (in Russian).

Panteleev A. V. – Optimization methods in examples and problems, Moscow: Visshaja shkola, 2005, 544 p. (in Russian).

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Published

10-12-2014

How to Cite

Prokopenko, I., & Martynchuk, I. (2014). OPTIMIZATION OF SMOOTHING PARAMETER BY KERNEL ESTIMATION OF PROBABILITY DENSITY DISTRIBUTION. Proceedings of National Aviation University, 61(4), 87–91. https://doi.org/10.18372/2306-1472.61.7592

Issue

Vol. 61 No. 4 (2014)

Section

MODERN AVIATION AND SPACE TEHNOLOGY

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