Form of presentation | Articles in international journals and collections |
Year of publication | 2022 |
Язык | английский |
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Akhmetova Irina Anatolevna, author
Voroncov Dmitriy Petrovich, author
Shikhalyov Anatoliy Mikhaylovich, author
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Verzun Natalya , author
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Zubenko Vadim Andreevich, author
Igushkin Ilya Arnoldovich, author
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Bibliographic description in the original language |
The method of specification the degree of reliability for “zero hypotheses« about the distribution laws basing on Pearson's and Kolmogorov's consent criteriaIlya Igushkin, Anatoly Shikhalev, Dmitry Vorontsov, Natalya Verzun, Irina Akhmetova, Vadim Zubenko. Proceedings of VIII International Conference on Information Technology and Nanotechnology (ITNT-2022), 23-27.05.2022, DOI:10.1109/ITNT55410.2022.9848752 |
Annotation |
Cборник материалов VIII Международной конференции и молодёжной школы «Информационные технологии и нанотехнологии» (ИТНТ-2022) |
Keywords |
small and ultra-small samples, variation series, weighted average (value), variance, distribution laws of random variables, Pearson?s and Kolmogorov?s consent criteria |
The name of the journal |
Cборник материалов VIII Международной конференции и молодёжной школы «Информационные технологии и нанотехнологии» (ИТНТ-2022)
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URL |
https://ieeexplore.ieee.org/document/9848752 |
Please use this ID to quote from or refer to the card |
https://repository.kpfu.ru/eng/?p_id=268093&p_lang=2 |
Full metadata record |
Field DC |
Value |
Language |
dc.contributor.author |
Akhmetova Irina Anatolevna |
ru_RU |
dc.contributor.author |
Voroncov Dmitriy Petrovich |
ru_RU |
dc.contributor.author |
Shikhalyov Anatoliy Mikhaylovich |
ru_RU |
dc.contributor.author |
Verzun Natalya |
ru_RU |
dc.contributor.author |
Zubenko Vadim Andreevich |
ru_RU |
dc.contributor.author |
Igushkin Ilya Arnoldovich |
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 |
The method of specification the degree of reliability for “zero hypotheses« about the distribution laws basing on Pearson's and Kolmogorov's consent criteriaIlya Igushkin, Anatoly Shikhalev, Dmitry Vorontsov, Natalya Verzun, Irina Akhmetova, Vadim Zubenko. Proceedings of VIII International Conference on Information Technology and Nanotechnology (ITNT-2022), 23-27.05.2022, DOI:10.1109/ITNT55410.2022.9848752 |
ru_RU |
dc.identifier.uri |
https://repository.kpfu.ru/eng/?p_id=268093&p_lang=2 |
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 recent years the modern socio-economic indicators usually are very unstable. Therefore the using of initial (raw) data even in the so-called «small samples« volume (25-30 values) could be problematic [1], [2]. For the initial data now it is often necessary to use the smaller number of it called the “ultra-small samples” which add some technical restrictions when studying many problems in the mathematical statistics framework, in particular when analyzing the task of the Pearson's consent criteria χ2 calculating with the recommended significance level Rpredet. ≥ 95% (i.e. “predetermined level”). In this research we propose the method of «(re)conciliation« (or “concordance”) for the determining and calculating the type of distribution laws for the random variable when Rcalc. < Rpredet. (i.e. Rcalculated < Rpredetermined). Moreover, also was created the «discrepancy criterion” (or “non-conformity criterion”) for the «zero hypotheses« concerned with the distribution laws of random variables testing for ultra-small samples cases. |
ru_RU |
dc.language.iso |
ru |
ru_RU |
dc.subject |
small and ultra-small samples |
ru_RU |
dc.subject |
variation series |
ru_RU |
dc.subject |
weighted average (value) |
ru_RU |
dc.subject |
variance |
ru_RU |
dc.subject |
distribution laws of random variables |
ru_RU |
dc.subject |
Pearson?s and Kolmogorov?s consent criteria |
ru_RU |
dc.title |
The method of specification the degree of reliability for “zero hypotheses« about the distribution laws basing on Pearson's and Kolmogorov's consent criteria. |
ru_RU |
dc.type |
Articles in international journals and collections |
ru_RU |
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