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Efficient Estimation of Additive Nonparametric Regression Models
Oliver B. Linton
Vol. 84, No. 2 (Jun., 1997), pp. 469-473
Stable URL: http://www.jstor.org/stable/2337471
Page Count: 5
You can always find the topics here!Topics: Estimators, Regression analysis, Population estimates, Linear regression, Statism, Estimation methods, Point estimators, Statistical estimation, Additivity, Scalars
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We define a new procedure for estimating additive nonparametric regression models. We use the integration method of Linton & Nielsen (1995) to provide starting values that are then used in a one-step backfitting procedure. We show that our new method is efficient in a certain sense and dominates the straight integration method according to mean squared error.
Biometrika © 1997 Biometrika Trust