A mixture of mixture models for a classification problem: The unity measure error

A mixture of Gaussian mixture models is proposed to deal with the identification of survey respondents providing values in a wrong unity measure. The “two-level” mixture model allows effective classification in a non-normal setting. The natural constraints of the problem make the model identifiable. The effectiveness of the proposal is shown by simulation studies and an application to the 1997 Italian Labour Cost Survey.