Bootstrap likelihood ratio test for Weibull mixture models fitted to grouped data
Bootstrap likelihood ratio test for Weibull mixture models fitted to grouped data is a scholarly work, published in 2018 in ''Communications in Statistics''. The main subjects of the publication include likelihood-ratio test, mixture model, Weibull distribution, skew normal distribution, likelihood function, statistics, missing data, mathematics, maximum likelihood estimation, and computer science. The authors illustrate EM algorithm for fitting Weibull mixture models for grouped data and propose a bootstrap likelihood ratio test (LRT) for determining the number of subpopulations in a mixture model.