Инд. авторы:	Ryabko B., Guskov A., Selivanova I.
Заглавие:	Using data-compressors for statistical analysis of problems on homogeneity testing and classification
Библ. ссылка:	Ryabko B., Guskov A., Selivanova I. Using data-compressors for statistical analysis of problems on homogeneity testing and classification // 2017 IEEE International Symposium on Information Theory (ISIT). - 2017: IEEE. - P.121-125.
Внешние системы:	DOI: 10.1109/ISIT.2017.8006502; РИНЦ: 31055656; SCOPUS: 2-s2.0-85034015843; WoS: 000430345200025;
Реферат:	eng: Nowadays data compressors are applied to many problems of text analysis, but many such applications are developed outside of the framework of mathematical statistics. In this paper we overcome this obstacle and show how several methods of classical mathematical statistics can be developed based on applications of the data compressors.
Ключевые слова:	Information theory; Universal codes; Text analysis; Hypothesis testing; Homogeneity testing; Data compressor; Statistics; Compressors; Classification (of information); Universal code; Hypothesis testing; Homogeneity test; Data compression; Classification; Data compression;
Издано:	2017
Физ. характеристика:	с.121-125
Конференция:	Название: 2017 IEEE International Symposium on Information Theory Аббревиатура: ISIT Город: Aachen Страна: Germany Даты проведения: 2017-06-25 - 2017-06-30 Ссылка: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7999336
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