Data_saekernel: Sample Data for Small Area Estimation Non-Parametric Based...

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

Description

Dataset to Simulate Small Area Estimation Non-Parametric Based Nadaraya-Watson Kernel

This data is generated by these following steps:

1. Generate explanatory variables Vardir. Vardir ~ abs(N(0, 0.1))
   Generate explanatory variables x. x ~ U(min=0, max=1)
   Calculate direct estimation y where yi = sin(2 * π * x^3) + 5

2. Then combine the direct estimations y, auxiliary variables x, and sampling varians Vardir in a dataframe then named as Data_saekernel

Usage

Data_saekernel

Format

A data frame with 100 rows and 3 variables:

y

Direct Estimation of Y

x

Auxiliary Variable of X

Vardir

Sampling Variance of Y

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