论文信息 - Estimation in partially linear models

Estimation in partially linear models

Abstract Order n algorithms are developed for computing the estimated mean vector, regression coefficients, standard errors and smoothing parameter selection criteria for Speckman smoothing spline estimators in partially linear models. A difference type variance estimator is proposed and shown to be 3 - consistent .

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