Executive Takeaways
■ Model-based variable selection is useful to analyze data with many variables. ■ Robust segmentation models are preferred when data has potential outliers. ■ Model-based segmentation analysis helps improve resource allocation.
Yifan Zhang, Assistant Professor of Quantitative Analysis
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