Uniqueness, consistency and optimality in spherical regression experiments

Hwashin H. Shin, Glen K. Takahara and Duncan J. Murdoch

Statistics & Probability Letters, 2001, vol. 54, issue 1, 61-65

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.

Keywords: Directional; data; Spherical; regression; Design; of; experiments; Uniqueness; Consistency; Optimality (search for similar items in EconPapers)
Date: 2001
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Citations: View citations in EconPapers (1)

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