Mixture modeling

The following videos show some uses of mixture modeling and latent class analysis in Amos.

• Mixture modeling and latent class analysis with training data (9.57)
  In this video, there are three groups. The dataset contains cases that have already been classified, and other cases whose group membership is unknown. Mixture modeling and latent class analysis are used to learn from the already-classified cases and then classify the remaining cases.
• Mixture modeling and latent class analysis without training data (9:15)
  In this video, it is hypothesized that cases fall into three groups, but group membership is unknown for all cases.
• Mixture regression modeling (9:40)
  In this video, two variables are not linearly related, but the sample can be split into two groups in such a way that the variables are linearly related within each group.

You can download the data.

Examples 34, 35 and 36 in the user's guide (English/Japanese) demonstrate mixture modeling.