title: A reduced-rank multivariate regression approach to aquatic joint toxicity experiments.
abstract: Classical multivariate regression techniques can lead to an asymptotically efficient restricted estimator of the regression matrix if there is evidence that the regression matrix is of reduced rank. A sublethal joint toxicity experiment involving two agents is used to illustrate this approach.
authors.affiliation: Department of Mathematics and Statistics, University of Guelph, Ontario, Canada.
authors.forename: D A
authors.initials: DA
authors.lastname: Ryan
authors.forename: J J
authors.initials: JJ
authors.lastname: Hubert
authors.forename: E M
authors.initials: EM
authors.lastname: Carter
authors.forename: J B
authors.initials: JB
authors.lastname: Sprague
authors.forename: J
authors.initials: J
authors.lastname: Parrott
mesh_terms: D000818:Animals; D001699:Biometry; D003300:Copper / Q000008:administration & dosage / Q000633:toxicity; D003530:Cyprinidae; D004347:Drug Interactions; D015999:Multivariate Analysis; D012044:Regression Analysis; D014116:Toxicology / Q000706:statistics & numerical data*; D015032:Zinc / Q000008:administration & dosage / Q000633:toxicity
chemical_list: D003300:Copper; D015032:Zinc