Research Article

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

Figure 1

The graphs of the PDF of the model for true parameters and estimated ones by the EM algorithm. The columns of graphs represent the sample sizes n = 90, 120, and 200, respectively. The rows of graphs represent the parameter scenarios (π1, θ1, θ2) = (0.35, 1, 4), (0.35, 0.5, 2), and (0.25, 2, 3), respectively.