КФУ. Карточка публикации. Student's t-table modification for the linear correlation coefficients estimation in the small samples cases

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STUDENT'S T-TABLE MODIFICATION FOR THE LINEAR CORRELATION COEFFICIENTS ESTIMATION IN THE SMALL SAMPLES CASES

Форма представления

Статьи в зарубежных журналах и сборниках

Год публикации

2022

Язык

английский

Авторы, сотрудники КФУ

Ахметова Ирина Анатольевна, автор

Воронцов Дмитрий Петрович, автор

Шихалёв Анатолий Михайлович, автор

Другие авторы

Верзун Наталья , автор

Колбанев Михаил , автор

Авторы, студенты КФУ

Игушкин Илья Арнольдович, автор

Библиографическое описание на языке оригинала

Student's t-table modification for the linear correlation coefficients estimation in the small samples cases. Ilya Igushkin, Anatoly Shikhalev, Dmitry Vorontsov, Natalya Verzun, Mikhail Kolbanyov, Irina Akhmetova. Proceedings of VIII International Conference on Information Technology and Nanotechnology (ITNT-2022), 23-27.05.2022, DOI:10.1109/ITNT55410.2022.9848663

Аннотация

Cборник материалов VIII Международной конференции и молодёжной школы «Информационные технологии и нанотехнологии» (ИТНТ-2022)

Ключевые слова

distribution law, correlation coefficient, Chaddock?s scale, turbulent economy, Student's t-test table, statistical population, consent criteria

Название журнала

URL

https://ieeexplore.ieee.org/document/9848663

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https://repository.kpfu.ru/?p_id=267030

Полная запись метаданных

Поле DC	Значение	Язык
dc.contributor.author	Ахметова Ирина Анатольевна	ru_RU
dc.contributor.author	Воронцов Дмитрий Петрович	ru_RU
dc.contributor.author	Шихалёв Анатолий Михайлович	ru_RU
dc.contributor.author	Верзун Наталья	ru_RU
dc.contributor.author	Колбанев Михаил	ru_RU
dc.contributor.author	Игушкин Илья Арнольдович	ru_RU
dc.date.accessioned	2022-01-01T00:00:00Z	ru_RU
dc.date.available	2022-01-01T00:00:00Z	ru_RU
dc.date.issued	2022	ru_RU
dc.identifier.citation	Student's t-table modification for the linear correlation coefficients estimation in the small samples cases. Ilya Igushkin, Anatoly Shikhalev, Dmitry Vorontsov, Natalya Verzun, Mikhail Kolbanyov, Irina Akhmetova. Proceedings of VIII International Conference on Information Technology and Nanotechnology (ITNT-2022), 23-27.05.2022, DOI:10.1109/ITNT55410.2022.9848663	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/?p_id=267030	ru_RU
dc.description.abstract	Cборник материалов VIII Международной конференции и молодёжной школы «Информационные технологии и нанотехнологии» (ИТНТ-2022)	ru_RU
dc.description.abstract	In the linear correlation coefficient calculations for the statistical significance estimation is often used the famous Chaddock's scale of the relationship between the studied phenomena with the characteristics like “weak”, “medium”, “visible”, “high”, “very high”, and for the significance evaluation used the Student's t-test table with the fixed alpha-level (α = 0.10; 0.05; 0.01) and with the available degrees of freedom. If the calculated values of the linear correlation coefficient are less than critical, then as usual the researchers will increase the number of initial observations N. However, in an unstable economics period this is not always possible. Therefore, we have the task of estimating the confidence interval for the calculated value of the linear correlation coefficient, especially to its lower bound (of confidence level): what if the calculated module of linear correlation coefficient will be met the reliability requirements according to the famous t-Student criterion? Moreover, this means that the significance in (both) cases is assessed on a step by step manner which is not fully expedient. For the decision of this problem we propose to use the modified Student's scale and then it is also possible to use the Chaddock's scale. As the raw data we use statistical aggregates with the limited size; after some modifications we create on this variation series and apply the consent criteria. For the noted problem solving we also must note the received equations for LCC error and non-strict inequality. Some part of the results was obtained with the program made in FoxPro 2.5 which was created by the member of the author's team (Anatoly Shikhalev).	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	distribution law	ru_RU
dc.subject	correlation coefficient	ru_RU
dc.subject	Chaddock?s scale	ru_RU
dc.subject	turbulent economy	ru_RU
dc.subject	Student's t-test table	ru_RU
dc.subject	statistical population	ru_RU
dc.subject	consent criteria	ru_RU
dc.title	Student's t-table modification for the linear correlation coefficients estimation in the small samples cases	ru_RU
dc.type	Статьи в зарубежных журналах и сборниках	ru_RU