Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Точный биномиальный тест× | Знаковый тест× | |
|---|---|---|
| Область | Статистика | Статистика |
| Семейство≠ | Regression model | Hypothesis test |
| Год появления≠ | 1988 | 1946 |
| Автор метода≠ | Classical exact test; textbook treatment by Siegel & Castellan | W. J. Dixon & A. M. Mood |
| Тип≠ | Exact one-sample test for a proportion | Nonparametric median test |
| Основополагающий источник≠ | Siegel, S. & Castellan, N. J. (1988). Nonparametric Statistics for the Behavioral Sciences (2nd ed.). McGraw-Hill. ISBN: 978-0070573574 | Dixon, W. J. & Mood, A. M. (1946). The statistical sign test. Journal of the American Statistical Association, 41(236), 557–566. DOI ↗ |
| Другие названия≠ | exact binomial test, binomial probability test, exact test for a proportion, Tam Binom Testi | İşaret Testi (Sign Test), one-sample sign test, paired sign test |
| Связанные≠ | 2 | 4 |
| Сводка≠ | The exact binomial test checks whether the observed number of successes in a fixed number of independent trials is consistent with a pre-specified success probability p₀. Because it computes exact binomial tail probabilities rather than relying on a normal approximation, it is the gold standard for testing a proportion in small samples; this two-sided formulation follows Siegel & Castellan's classic treatment (1988). | The sign test is the simplest nonparametric hypothesis test for deciding whether the median of paired differences — or of a single sample — differs significantly from a hypothesised value. Formalised by W. J. Dixon and A. M. Mood in 1946, it imposes virtually no distributional assumptions and can be applied to any data where individual differences can be classified as positive or negative. |
| ScholarGateНабор данных ↗ |
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