Some Robust-TypeD-Optimal Designs in Polynomial Regression

W. J. Studden

93 citations0/0 files storedJournal of the American Statistical Association

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Optimal Experimental Design Methods Advanced Statistical Methods and Models Statistical and numerical algorithms

Abstract

Consider a polynomial regression situation on an interval and also a robustness-type formulation of Stigler's. A technique involving canonical moments is discussed and some explicit solutions are given.

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1971Optimal Experimental Design for Polynomial Regression

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2009Optimal discrimination designs 1996An overview of design of experiments 1988Recent Developments in the Methods of Optimum and Related Experimental Designs 2001Robust designs for polynomial regression by maximizing a minimum of D- and D1-efficiencies 1993Experimental Designs for Model Discrimination 1995Optimal Designs for Identifying the Degree of a Polynomial Regression 1995Bayesian D-optimal designs for the exponential growth model 1988Constrained optimal designs

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