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Jedidi, Kamel; And Others – Structural Equation Modeling, 1996
An Expectation-Maximization (EM) algorithm in a maximum likelihood framework is developed to estimate finite mixtures of multivariate regression and simultaneous equation models with multiple endogenous variables. A dataset with cross-sectional observations for a diverse sample of businesses illustrates the semiparametric approach. (SLD)
Descriptors: Estimation (Mathematics), Maximum Likelihood Statistics, Multivariate Analysis, Regression (Statistics)