
Metric Identification for Random Value Density Distribution
Author(s) -
Э. И. Цветков,
Е. С. Сулоева
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1864/1/012092
Subject(s) - metric (unit) , mathematics , statistics , value (mathematics) , identification (biology) , distribution (mathematics) , mixture distribution , random variable , sample (material) , probability distribution , statistical physics , mathematical analysis , physics , engineering , operations management , botany , biology , thermodynamics
The problem of metric identification of probability density distribution for a random value is considered. It is shown that the accuracy is determined both by the sample size and by the number of intervals into which the domain of its determining is divided.