Totally positive regression: E-optimal designs

被引:0
作者
Heiligers B. [1 ]
机构
[1] Fakultät für Mathematik, Inst. für Math. Stochastik, Universität Magdeburg
关键词
Approximate design; Chebyshev approximation; Chebyshev system; E-optimality; Equi-oscillation; Polynomial splines; Scalar optimality; Total positivity; Weighted polynomial regression;
D O I
10.1007/s184-002-8364-7
中图分类号
学科分类号
摘要
E-optimality of approximate designs in linear regression models is paired with a dual problem of nonlinear Chebyshev approximation. When the regression functions form a totally positive system, then the information matrices of designs for subparameters turn out to be "almost" totally positive, a property which allows to solve the nonlinear Chebyshev problem. Thereby we obtain explicit formulae for E-optimal designs in terms of equi-oscillating generalized polynomials. The considerations unify and generalize known results on E-optimality for particular regression setups.
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页码:191 / 213
页数:22
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