Represent Asymmetric Smoothing Kernels: normal, cosine, triweight, quartic and uniform.
Kernel.asymmetric(u, type.Ker = "AKer.norm")
Returns asymmetric kernel.
Data.
Type of asymmetric metric kernel, by default asymmetric normal kernel.
Manuel Febrero-Bande, Manuel Oviedo de la Fuente manuel.oviedo@usc.es
Type of Asymmetric kernel:
AKer.norm
AKer.cos
AKer.epa
AKer.tri
AKer.quar
AKer.unif
Ferraty, F. and Vieu, P. (2006). Nonparametric functional data analysis. Springer Series in Statistics, New York.
Hardle, W. Applied Nonparametric Regression. Cambridge University Press, 1994.
y=qnorm(seq(.1,.9,len=100)) a<-Kernel.asymmetric(u=y) b<-Kernel.asymmetric(type.Ker="AKer.tri",u=y) c=AKer.cos(y)
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