A latent class probit model for analyzing pick any/N data (Q2277718)
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| Language | Label | Description | Also known as |
|---|---|---|---|
| English | A latent class probit model for analyzing pick any/N data |
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A latent class probit model for analyzing pick any/N data (English)
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1991
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A latent class profit model is developed in which it is assumed that the binary data of a particular subject follow a finite mixture of multivariate Bernoulli distributions. An EM algorithm for fitting the model is described and a Monte Carlo procedure for testing the number of latent classes that is required for adequately describing the data is discussed.
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Monte Carlo significance test
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market segmentation
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latent class profit model
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binary data
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finite mixture of multivariate Bernoulli distributions
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EM algorithm
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