Uniqueness, consistency and optimality in spherical regression experiments

Abstract

For designed experiments based on the spherical regression model of Chang (Ann. Statist. 14 (1986) 907) we provide results on the minimum number of covariate directions that are necessary and sufficient for uniqueness and consistency of least squares estimates and on minimizing confidence regions.Directional data Spherical regression Design of experiments Uniqueness Consistency Optimality