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Проверка достоверности результатов моделирования методами непараметрической статистики

Проверка достоверности результатов моделирования методами непараметрической статистики

Abstract

Описана методика проверки достоверности имитационной модели приобретения знаний студентами по дисциплине «Информатика» с помощью методов непараметрической статистики: медианным критерием и критерием Вилкоксона-Манна-Уитни. A technique for validating a simulation model of knowledge acquisition by students on academic discipline "Computer Science" by means of nonparametric statistics methods application: the median test and the Wilcoxon-Mann-Whitney test is described.

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Keywords

нулевая гипотеза, nonparametric statistics, test, критерий Вилкоксона-Манна-Уитни, null hypothesis, альтернативная гипотеза, медианный критерий, simulation, alternative hypothesis, имитационная модель

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    popularity
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    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green