Estimation of Parameters of Finite Mixture of Rayleigh Distribution by the Expectation-Maximization Algorithm

Figure 2

The graphs of the PDF of the model for true parameters and estimated ones by the EM algorithm. The columns of the graphs represent the sample sizes n = 90, 120, and 200, respectively. The rows of the graphs represent the parameter scenarios (π₁, π₂, θ₁, θ₂, θ₃) = (0.3, 0.3, 1, 4, 7), (0.3, 0.3, 0.5, 2, 4), and (0.2, 0.3, 1, 2, 3), respectively.