A constrained em algorithm for univariate normal mixtures
Richard J. Hathaway · Journal of Statistical Computation and Simulation · 1986
The EM algorithm is widely used to calculate maximum-likelihood estimates corresponding to a mixture of normal distributions. The algorithm is altered using simple constraints which increase robustness against poor initial guesses while maintaining a low work requirement per iteration. The modified algorithm is described and the results of some numerical tests are given.