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| 精确二项检验× | 符号检验× | |
|---|---|---|
| 领域 | 统计学 | 统计学 |
| 方法族≠ | Regression model | Hypothesis test |
| 起源年份≠ | 1988 | 1946 |
| 提出者≠ | Classical exact test; textbook treatment by Siegel & Castellan | W. J. Dixon & A. M. Mood |
| 类型≠ | Exact one-sample test for a proportion | Nonparametric median test |
| 开创性文献≠ | 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 ↗ |
| 别名≠ | 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 |
| 相关≠ | 2 | 4 |
| 摘要≠ | 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. |
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