As per Roger et al, 1993, this function tests if two samples come from distributions with different means, against the alternative hypothesis that the distribution means are the same. I.e.,
H0: the two distributions have different means (the difference between the means falls outside of an equivalence interval [d1, d2])
HA: the two distributions have equivalent means (the difference between the means falls within the equivalence interval [d1, d2])
This function performs two one-sided t-tests on the input samples. The outputs of this function include two p values (one per t-test) and a 90% confidence interval. The null hypothesis should be rejected if max([p1, p2]) > alpha, or if the confidence interval falls outside of the equivalence interval.
引用格式
Anisha (2026). TOST(sample1, sample2, d1, d2, alpha) (https://ww2.mathworks.cn/matlabcentral/fileexchange/63204-tost-sample1-sample2-d1-d2-alpha), MATLAB Central File Exchange. 检索时间: .
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- AI and Statistics > Statistics and Machine Learning Toolbox > Probability Distributions and Hypothesis Tests > Hypothesis Tests >
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启发作品: TOST
| 版本 | 已发布 | 发行说明 | |
|---|---|---|---|
| 1.0.0.0 | Updated description. |
