来自未定义标签的抽样群体的检验平均值
Testing means from sampling populations with undefined labels
摘要：
我们考虑的问题，从两个人口的样本的标签是不确定的测试手段。我们表明，这个问题是连接到另一个是测试期望值的组件的混合模型从两个数据样本。底层混合模型与已知的不同混合权重相关联。我们提供了一个性能良好的测试程序。然后，我们指出我们的方法的性能损失，由于混合效应，通过比较其数值性能的韦尔奇的t-检验的手段，这将已经完成，如果真正的标签。
英文摘要：
We consider the problem of testing means from samples of two populations for which the labels are not defined with certainty. We show that this problem is connected to another one that is testing expected values of components of mixture-models from two data samples. The underlying mixture-model is associated with known varying mixing-weights. We provide a testing procedure that performs well. Then we point out the loss of performance of our method due to the mixing-effect by comparing its numerical performances to the Welch's t-test on means which would have been done if true labels were available.
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