On the identifiability of a mixture model for ordinal data. (English) Zbl 1301.62017
Summary: In 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.
MSC:
| 62E10 | Characterization and structure theory of statistical distributions |
| 62F10 | Point estimation |
Software:
CUBReferences:
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