Fitting mixture models to grouped and truncated data via the EM algorithm.
The fitting of finite mixture models via the EM algorithm is considered for data which are available only in grouped form and which may also be truncated. A practical example is presented where a mixture of two doubly truncated log-normal distributions is adopted to model the distribution of the volume of red blood cells in cows during recovery from anemia.
McLachlan
G J
GJ
Department of Mathematics, University of Queensland, St. Lucia, Australia.
Jones
P N
PN
D000465:Algorithms; D000712:Anaplasmosis / Q000097:blood / Q000150:complications; D000740:Anemia / Q000097:blood / Q000209:etiology; D000818:Animals; D001699:Biometry / Q000379:methods*; D002417:Cattle; D004911:Erythrocyte Volume; D008954:Models, Biological; D008962:Models, Theoretical