LocLinAuxQuantities: Local kernel weights

In NPHazardRate: Nonparametric Hazard Rate Estimation

Description

Implements the local kernel weights which are used in the implementation of LocLinEst and the second derivative estimate used in PlugInBand.

Usage

sn.0(xin, xout, h, kfun)
sn.1(xin, xout, h, kfun)
sn.2(xin, xout, h, kfun)
sn.3(xin, xout, h, kfun)
sn.4(xin, xout, h, kfun)
sn.5(xin, xout, h, kfun)
sn.6(xin, xout, h, kfun)
tn.0(xin, xout, h, kfun, Y)
tn.1(xin, xout, h, kfun, Y)
tn.2(xin, xout, h, kfun, Y)
tn.3(xin, xout, h, kfun, Y)

Arguments

xin	A vector of data points, typicaly these are the bin centers. Missing values not allowed.
xout	A vector of data points where the estimate will be evaluated.
h	A scalar. The bandwidth to use.
kfun	The kernel function to use.
Y	Empirical hazard rate estimates.

Details

The functions calculate the quantities

S_{n,l}(x) = ∑_{i=1}^n K ≤ft (\frac{x_i-x}{h}\right ) (x_i-x)^l, l=0,…,6

and

T_{n,l}(x) = ∑_{i=1}^n K ≤ft (\frac{x_i-x}{h}\right ) (x_i-x)^l Y_i, l=0,…,3

These qunatities are used to adjust the hazard rate estimate and its second derivative in the boundary.

Value

The weight of the functional at x

References

1. Bagkavos and Patil, Local Polynomial Fitting in Failure Rate Estimation, IEEE Transactions on Reliability, 57, (2008),

2. Bagkavos (2011), Annals of the Institute of Statistical Mathematics, 63(5), 1019-1046.

NPHazardRate documentation built on May 2, 2019, 10:24 a.m.