Email this article Discretization Method for the Range of Values of a Multi-Dimensional Random Variable
- Authors: Lapko A.V.1,2, Lapko V.A.1,2
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Affiliations:
- Institute of Computational Modeling, Siberian Branch of the Russian Academy of Sciences
- Reshetnev Siberian State Aerospace University
- Issue: Vol 62, No 1 (2019)
- Pages: 16-22
- Section: General Problems of Metrology and Measurement Technique
- URL: https://journals.rcsi.science/0543-1972/article/view/246663
- DOI: https://doi.org/10.1007/s11018-019-01579-0
- ID: 246663
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Abstract
A discretization method for the range of values of a multidimensional random variable is considered. Its dependence on the volume, dimension of the initial information and the type of probability density is investigated. The obtained results are compared with the Scott rule for a multidimensional random variable with a normal distribution law.
About the authors
A. V. Lapko
Institute of Computational Modeling, Siberian Branch of the Russian Academy of Sciences; Reshetnev Siberian State Aerospace University
Author for correspondence.
Email: lapko@icm.krasn.ru
Russian Federation, Krasnoyarsk; Krasnoyarsk
V. A. Lapko
Institute of Computational Modeling, Siberian Branch of the Russian Academy of Sciences; Reshetnev Siberian State Aerospace University
Email: lapko@icm.krasn.ru
Russian Federation, Krasnoyarsk; Krasnoyarsk
