On the identifiability of a mixture model for ordinal data
On the identifiability of a mixture model for ordinal data
复制标题
序数数据混合模型的可辨识性
作者：
M. Iannario
在本文中，我们讨论了概率模型的可识别性，该模型已被证明可用于捕获由评级调查生成的有序数据的主要特征。具体地说，我们证明了当类别数大于3时，移位二项分布和均匀离散分布的混合物是可识别的。
SummaryIn this article we discuss the identifiability of a probability model which has been proven useful for capturing the main features of ordinal data generated by rating surveys. Specifically, we show that the mixture of a shifted Binomial and a Uniform discrete distribution is identifiable when the number of categories is greater than three.