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Near optimal weights in nonparametric regression under some common restrictions

  • Design


A fixed design nonparametric regression model having potentially correlated replicate measurements is considered. Optimal minimizers of the mean averaged squared error are derived under restrictions of symmetry and nonnegativity/normalization. The feasibility of a direct estimation strategy, naturally utilizing correlation, is discussed.

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