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Nonparametric regression - some approaches

T. Marošević


Full text: english pdf 152 Kb

page 43-50

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Abstract

In this paper we describe two approaches to nonparametric regression. First, we consider the nearest neighbour approach, as a procedure which serves mainly for obtaining an ad hoc smoothing and interpolating. Next, we describe the roughness penalty approach.
This gives a certain compromise between the demand for goodness-of-fit of regression curve to the given data and the condition that the regression curve has not too many oscillations.

Keywords

nonparametric regression; nearest neighbour approach; roughness penalty approach; penalized least squares; smoothing splines

Hrčak ID:

1850

URI

https://hrcak.srce.hr/1850

Publication date:

20.6.1996.

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