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Designing Experiments for Adaptively Fitted Models  (Make Corrections)  
Norbert Benda, Rainer Schwabe



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Abstract: : Stepwise regression is a commonly used tool if the order of the linear model to be fitted is not known exactly. In this note strategies are proposed for an optimal choice of both the design and the decision rule which selects the adequate model. KEYWORDS: Pre--test Estimator; G--optimal Design; Minimax Design Criterion; Stepwise Regression; Efficiency Constraint 1 Introduction The outcomes of statistical experiments are usually described by the mean response E(Y (x)) which expresses the... (Update)

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BibTeX entry:   (Update)

@misc{ benda-designing,
  author = "Norbert Benda and Rainer Schwabe",
  title = "Designing Experiments for Adaptively Fitted Models",
  url = "citeseer.ist.psu.edu/172419.html" }
Citations (may not include all citations):
50   Optimal Design of Experiments (context) - Pukelsheim - 1993
39   Optimum Experimental Designs (context) - Atkinson, Donev - 1992

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