Bayesian Estimation Supersedes the t Test
Bayesian Estimation Supersedes the t Test
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DOI：
10.1037/a0029146
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发表时间：
2013-05-01
影响因子：
4.1
通讯作者：
Kruschke, John K.
中科院分区：
文献类型：
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作者：
Kruschke, John K.
两组的贝叶斯估计为效应大小、组均值及其差、标准差及其差和数据的正态性提供了可信值的完整分布。该方法处理异常值。当估计的确定性较高时（与使用贝叶斯因子的贝叶斯模型比较不同），决策规则可以接受null值（与传统t检验不同）。该方法还为各种研究目标提供了精确的统计能力估计。这些软件和程序是免费的，可以在Macintosh、Windows和Linux平台上运行。
Bayesian estimation for 2 groups provides complete distributions of credible values for the effect size, group means and their difference, standard deviations and their difference, and the normality of the data. The method handles outliers. The decision rule can accept the null value (unlike traditional t tests) when certainty in the estimate is high (unlike Bayesian model comparison using Bayes factors). The method also yields precise estimates of statistical power for various research goals. The software and programs are free and run on Macintosh, Windows, and Linux platforms.