The likelihood ratio test for homogeneity in finite mixture models
Hanfeng Chen, Jiahua Chen · Canadian Journal of Statistics · 2001
Abstract The authors study the asymptotic behaviour of the likelihood ratio statistic for testing homogeneity in the finite mixture models of a general parametric distribution family. They prove that the limiting distribution of this statistic is the squared supremum of a truncated standard Gaussian process. The autocorrelation function of the Gaussian process is explicitly presented. A re‐sampling procedure is recommended to obtain the asymptotic p ‐value. Three kernel functions, normal, binomial and Poisson, are used in a simulation study which illustrates the procedure.