title: Fitting mixture models to grouped and truncated data via the EM algorithm.
abstract: 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.
authors.affiliation: Department of Mathematics, University of Queensland, St. Lucia, Australia.
authors.forename: G J
authors.initials: GJ
authors.lastname: McLachlan
authors.forename: P N
authors.initials: PN
authors.lastname: Jones
mesh_terms: 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