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Direct linkKaplan, David – Journal of Educational and Behavioral Statistics, 2005
This article considers the problem of estimating dynamic linear regression models when the data are generated from finite mixture probability density function where the mixture components are characterized by different dynamic regression model parameters. Specifically, conventional linear models assume that the data are generated by a single…
Descriptors: Regression (Statistics), Modeling (Psychology), Responses, Models
