Gaussian Mixture Models Based on Principal Components and Applications

Table 9

Cancer incidence data: parameter estimates and BIC of the bivariate GMM (first technique).

Values	Model parameters
	First component					Second component
	Parameter estimation	0.23754	5.47758	−1.26673	70.72932	11.1328	0.76245	−1.70651	0.39464	0.25654	0.07405
Log-likelihood = −242.2074, BIC = 556.9625; Number of iterations: 30