mse_saekernel: Small Area Estimation Non-Parametric Based Nadaraya-Watson...

In saekernel: Small Area Estimation Non-Parametric Based Nadaraya-Watson Kernel

Description

This Function Gives Small Area Estimation Non-Parametric Based Nadaraya-Watson Kernel and Calculates The Bootstrap Mean Squared Error Estimates

Usage

mse_saekernel(X, Y, vardir, bandwidth, B = 1000)

Arguments

X	Auxiliary Variable of X
Y	Direct Estimation of Y
vardir	Sampling Variances of Direct Estimators
bandwidth	The kernel Bandwidth Smoothing Parameter
B	Number of Bootstrap. Default is 1000

Value

This function returns a list with following objects:

est	a value of Small Area Estimation Non-Parametric Based Nadaraya-Watson Kernel
refvar	Estimated Random Effect Variance
mse	Bootstrap Mean Squared Error Estimators of Small Area Estimation Non-Parametric Based Nadaraya-Watson Kernel

Examples

##load dataset
data(Data_saekernel)

mse_saekernel(X = Data_saekernel$x, Y = Data_saekernel$y,
vardir = Data_saekernel$Vardir, bandwidth = 0.04, B = 1000)

saekernel documentation built on June 4, 2021, 9:07 a.m.