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Использование метода k-средних для идентификации моделей неоднородных распределений случайных величин

Использование метода k-средних для идентификации моделей неоднородных распределений случайных величин

Abstract

In the article the problem of identification of inhomogeneous distribution models of random variables is considered. The procedure, which provides a preliminary estimation of the quantity and parameters of components and their further improvement with the help of methods of minimization of the Kolmogorov−Smirnov test or the omega-squared test calculated values, is proposed. The results of analysis of empirical data about the elections of the President of Ukraine in 2010 year.

В статье рассмотрена проблема идентификации моделей неоднородных распределений случайных величин. Предложена процедура, которая предусматривает предварительное оценивание количества и параметров составляющих и их дальнейшее уточнение методами минимизации расчетных значений критерия Колмогорова−Смирнова или критерия типа омега-квадрат. Приведены результаты анализа эмпирических данных о выборах Президента Украины в 2010 г.

Keywords

НЕОДНОРіДНИЙ РОЗПОДіЛ, іДЕНТИФіКАЦіЯ, МЕТОД K-СЕРЕДНіХ, КРИТЕРіЙ КОЛМОГОРОВА-СМИРНОВА, НЕОДНОРОДНОЕ РАСПРЕДЕЛЕНИЕ, ИДЕНТИФИКАЦИЯ, МЕТОД K-СРЕДНИХ, КРИТЕРИЙ КОЛМОГОРОВА−СМИРНОВА, THE KOLMOGOROV−SMIRNOV TEST

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold