Анализ непараметрических и параметрических критериев проверки статистических гипотез. Часть I. Критерии согласия Пирсона и Колмогорова

Автор(и)

  • F. V. Motsnyi Національна академія статистики, обліку та аудиту

DOI:

https://doi.org/10.31767/su.4(83)2018.04.02

Ключові слова:

mathematical statistics, sample, random values, statistical hypotheses, degrees of freedom, critical point, empirical frequency, theoretical frequency, experimental function, theoretical function, distribution laws, nonparametric tests, Pearson criterion, Kolmogorov criterion

Анотація

Розглянуто статистичні критерії узгодження, що використовуються для перевірки гіпотез про закони розподілу генеральної сукупності. З єдиної позиції всебічно проаналізовані відомі непараметричні критерії Пірсона та Колмогорова. З’ясовані особливості їх застосування. Узагальнені результати численних теоретичних і прикладних досліджень. Запропоновані та розв’язані типові задачі.

Завантаження

Дані завантаження ще не доступні.

Посилання

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Опубліковано

2018-12-17

Як цитувати

Motsnyi, F. V. (2018). Анализ непараметрических и параметрических критериев проверки статистических гипотез. Часть I. Критерии согласия Пирсона и Колмогорова. Статистика України, 83(4), 14–24. https://doi.org/10.31767/su.4(83)2018.04.02