Pages that link to "Item:Q4921623"
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The following pages link to Comparing Two-Stage Segmentation Methods for Choice Data with a One-Stage Latent Class Choice Analysis (Q4921623):
Displaying 8 items.
- Market segmentation using brand strategy research: Bayesian inference with respect to mixtures of log-linear models (Q263097) (← links)
- Latent class factor models for market segmentation: an application to pharmaceuticals (Q635887) (← links)
- A-optimal and A-efficient designs for discrete choice experiments (Q899366) (← links)
- Amalgamation of partitions from multiple segmentation bases: a comparison of non-model-based and model-based methods (Q1037693) (← links)
- The benefits of incorporating utility dependencies in finite mixture probit models (Q2014597) (← links)
- A-efficient discrete choice designs for attributes with unequal numbers of levels (Q2324031) (← links)
- Dynamic segmentation with growth mixture models (Q2418269) (← links)
- Latent classification model for censored longitudinal binary outcome (Q6618408) (← links)
