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A reduced-rank multivariate regression approach to aquatic joint toxicity experiments
D A Ryan1, J J Hubert, E M Carter
1Department of Mathematics and Statistics, University of Guelph, Ontario, Canada.
Biometrics
|March 1, 1992
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.