KFU. Card publication. Methods of verification of compliance with an asymptotically power law

KAZAN
FEDERAL UNIVERSITY

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METHODS OF VERIFICATION OF COMPLIANCE WITH AN ASYMPTOTICALLY POWER LAW

Form of presentation

Conference proceedings in international journals and collections

Year of publication

2018

Язык

русский

Authors, employees of KFU

Tyurin Vladimir Aleksandrovich, author

Bibliographic description in the original language

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

Annotation

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

Keywords

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

The name of the journal

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

URL

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

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=176937&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Tyurin Vladimir Aleksandrovich	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/eng/?p_id=176937&p_lang=2	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	Conference proceedings in international journals and collections	ru_RU