Biedermann, Stefanie and Dette, Holger
A note on maximin and Bayesian D-optimal designs in weighted polynomial regression
Mathematical Methods of Statistics, 12, (3), .
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We consider the problem of finding D-optimal designs for estimating the coefficients in a weighted polynomial regression model with a certain efficiency function depending on two unknown parameters, which models the heteroscedastic error structure. This problem is tackled by adopting a Bayesian and a maximin approach, and optimal designs supported on a minimal number of support points are determined explicitly.
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