Bias estimates of maximum likelihood parameter estimators when the covariance structure of a 2-component Gaussian mixture is assumed to be conditionally independent, exchangeable, and exponential structure based on 1000 replications under each mixture distribution with n=500, m=5, γ1=γ2=0, β1=1, V1=Im, σ1
2=0.25, β2=3, V2=V(r) and σ2
2=2 where V(r) is the exponential correlation matrix and r=3. Mean
values of the RJ criteria are RJ = 1.97, 1.02, 0.99 for the three covariance assumptions, respectively.