Accuracy of the normal approximation for Speckman's kernel smoothing estimator of the parametric component ; in the semiparametric regression model y=x { ;+ g(t)+e is studied when the bandwidth used in the estimator is selected by a general data-based method which includes such commonly used bandwid
Normal Approximation Rate of the Kernel Smoothing Estimator in a Partial Linear Model
β Scribed by Sheng-Yan Hong; Ping Cheng
- Publisher
- Elsevier Science
- Year
- 1999
- Tongue
- English
- Weight
- 133 KB
- Volume
- 70
- Category
- Article
- ISSN
- 0047-259X
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