vDBS {StratifiedSampling} | R Documentation |
Variance Estimation for Doubly Balanced Sample.
Description
Variance estimator for sample that are at the same time well spread and balanced on auxiliary variables. See Grafstr\"om and Till\'e (2013)
Usage
vDBS(Xauxs, Xspreads, piks, ys)
Arguments
Xauxs |
A matrix of size ( |
Xspreads |
Matrix of spatial coordinates. |
piks |
A vector of inclusion probabilities. The vector has the size |
ys |
A variable of interest. The vector has the size |
Value
Estimated variance of the horvitz-thompson estimator.
References
Grafstr\"om, A. and Till\'e, Y. (2013), Doubly balanced spatial sampling with spreading and restitution of auxiliary totals, Environmetrics, 14(2):120-131
See Also
Examples
N <- 100
n <- 40
x1 <- rgamma(N,4,25)
x2 <- rgamma(N,4,25)
pik <- rep(n/N,N)
Xaux <- cbind(pik,as.matrix(matrix(c(x1,x2),ncol = 2)))
Xspread <- cbind(runif(N),runif(N))
s <- balseq(pik,Xaux,Xspread)
y <- Xaux%*%c(1,1,3) + rnorm(N,120) # variable of interest
vEst(Xaux[s,],pik[s],y[s])
vDBS(Xaux[s,],Xspread[s,],pik[s],y[s])
vApp(Xaux,pik,y)
[Package StratifiedSampling version 0.4.2 Index]