subbootweights()
samples n-1
PSUs from the n
available (Rao and Wu),
bootweights
samples n
(Canty and Davison).bootweights()
is most useful when the strata are large and may have
large sampling fractions, subbootweights()
is useful when the
strata have a small number of PSUs and the sampling fractions are small.
This bootstrap is strictly appropriate only when the first stage of sampling is a simple or stratified random sample of PSUs with or without replacement, and not (eg) for PPS sampling.
bootweights(strata, psu, replicates = 50, fpc = NULL,
fpctype = c("population", "fraction", "correction"),
compress = TRUE)
subbootweights(strata, psu, replicates = 50,
compress = TRUE)
fpc
the population size, sampling fraction,
or 1-sampling fraction?Rao JNK, Wu CFJ. Bootstrap inference for sample surveys. Proc Section on Survey Research Methodology. 1993 (866--871)
as.svrepdesign