Abstract
Optimization here means minimization of the asymptotically leading term of the IMSE. Since the asymptotic expression for the IMSE is the same for both kernel and weighted local least squares methods, optimization considerations are also the same.
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© 1988 Springer-Verlag Berlin Heidelberg
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Müller, HG. (1988). Optimization of Kernel and Weighted Local Regression Methods. In: Nonparametric Regression Analysis of Longitudinal Data. Lecture Notes in Statistics, vol 46. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-3926-0_5
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DOI: https://doi.org/10.1007/978-1-4612-3926-0_5
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-96844-5
Online ISBN: 978-1-4612-3926-0
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