Sample- and segment-size specific Model Selection in Mixture Regression Analysis

@inproceedings{Sarstedt2006SampleAS,
  title={Sample- and segment-size specific Model Selection in Mixture Regression Analysis},
  author={M. Sarstedt},
  year={2006}
}
As mixture regression models increasingly receive attention from both theory and practice, the question of selecting the correct number of segments gains urgency. A misspecification can lead to an under- or oversegmentation, thus resulting in flawed management decisions on customer targeting or product positioning. This paper presents the results of an extensive simulation study that examines the performance of commonly used information criteria in a mixture regression context with normal data… Expand
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