var_srs: The estimation of the simple random sampling.

In vardpoor: Variance Estimation for Sample Surveys by the Ultimate Cluster Method

Description

Computes the estimation of the simple random sampling.

Usage

var_srs(Y, w = rep(1, length(Y)))

Arguments

Y	The variables of interest.
w	Weight variable. One dimensional object convertible to one-column data.frame.

Value

A list with objects are returned by the function:

• S2p - a data.table containing the values of the variance estimation of the population.

• varsrs - a data.table containing the values of the variance estimation of the simple random sampling.

References

Yves G. Berger, Tim Goedeme, Guillame Osier (2013). Handbook on standard error estimation and other related sampling issues in EU-SILC, URL https://ec.europa.eu/eurostat/cros/content/handbook-standard-error-estimation-and-other-related-sampling-issues-ver-29072013_en

See Also

vardom, vardomh, varpoord

Examples

Ys <- matrix(rchisq(10, 3), 10, 1)
ws <- c(rep(2, 5), rep(3, 5))
var_srs(Ys, ws)

vardpoor documentation built on Nov. 30, 2020, 5:08 p.m.