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A Bayesian model for local smoothing in kernel density estimation

✍ Scribed by Mark J. Brewer


Book ID
110270279
Publisher
Springer US
Year
2000
Tongue
English
Weight
141 KB
Volume
10
Category
Article
ISSN
0960-3174

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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