КФУ. Карточка публикации. Methods of verification of compliance with an asymptotically power law

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METHODS OF VERIFICATION OF COMPLIANCE WITH AN ASYMPTOTICALLY POWER LAW

Форма представления

Тезисы и материалы конференций в зарубежных журналах и сборниках

Год публикации

2018

Язык

русский

Авторы, сотрудники КФУ

Тюрин Владимир Александрович, автор

Библиографическое описание на языке оригинала

I A Belashova, V V Bochkarev, V A Tyurin// IOP Conf. Series: Journal of Physics: Conf. Series 936 (2017) 012074

Аннотация

International Conference on Mathematical Modeling in Physical Sciences August 28-31, 2017 Pafos, Cyprus

Ключевые слова

power-law distribution, robust criteria, runs test, Zipf's law

Название журнала

International Conference on Mathematical Modeling in Physical Sciences August 28-31, 2017 Pafos, Cyprus

URL

http://iopscience.iop.org/issue/1742-6596/936/1

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https://repository.kpfu.ru/?p_id=176937

Полная запись метаданных

Поле DC	Значение	Язык
dc.contributor.author	Тюрин Владимир Александрович	ru_RU
dc.date.accessioned	2018-01-01T00:00:00Z	ru_RU
dc.date.available	2018-01-01T00:00:00Z	ru_RU
dc.date.issued	2018	ru_RU
dc.identifier.citation	I A Belashova, V V Bochkarev, V A Tyurin// IOP Conf. Series: Journal of Physics: Conf. Series 936 (2017) 012074	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/?p_id=176937	ru_RU
dc.description.abstract	International Conference on Mathematical Modeling in Physical Sciences August 28-31, 2017 Pafos, Cyprus	ru_RU
dc.description.abstract	Abstract This paper describes methods of the power law verification using different empirical data. We do not analyse the value of deviations from the model but try to found out whether these deviations are regular or random. The suggested approach is based on the idea of finding local power approximation of the considered series for each range of ranks, after which one or another trend criterion is applied to the obtained series of local exponents. Application of the runs test is also discussed. The suggested methods were tested using 10 sets of empirical data, which are available for free. It was shown that compliance with the power law is satisfactory only in one case.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	power-law distribution	ru_RU
dc.subject	robust criteria	ru_RU
dc.subject	runs test	ru_RU
dc.subject	Zipf's law	ru_RU
dc.title	Methods of verification of compliance with an asymptotically power law	ru_RU
dc.type	Тезисы и материалы конференций в зарубежных журналах и сборниках	ru_RU