Woods, D.C., Lewis, S.M. and Dewynne, J.N.
Designing experiments for multi-variable B-spline models
Sankhya, 65, .
Full text not available from this repository.
In a range of practical applications where a response cannot be adequately described by a low order polynomial, B-spline regression models for a single variable have proved useful for prediction. In this paper identifiable models for several explanatory variables are considered which are formulated from B-spline and monomial basis functions of known degree and with specified knots.
The use of search methods to find efficient designs under the V-, G- and D-optimality criteria is investigated. Two methods of constructing lists of feasible candidate points are described and compared across a variety of examples.
Actions (login required)