This data similar to
dataME but have 9 non-sampled area. Generated by following these steps:
Generate xi from a UNIF(5, 10) distribution, ψi = 3, ci = 0.25, and σ2v = 2.
Generate ui from a N(0, ci) distribution, ei from a N(0, ψi) distribution, and vi from a N(0, σ2v) distribution.
Generate x.hati = xi + ui.
Then for each iteration, we generated Yi = 2 + 0.5*x.hati + vi and yi = Yi + ei.
y, auxiliary variable x.hat, sampling variance ψ, and c are arranged in a dataframe called
A data frame with 100 observations on the following 4 variables.
areas of interest.
direct estimator for each domain.
auxiliary variable for each domain.
sampling variances for each domain.
mean squared error of auxiliary variable and sorted as
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