Professional paper
Nonparametric regression - some approaches
T. Marošević
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
Publication date:
20.6.1996.
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