var_Berger: Berger approximate variance estimator

In UPSvarApprox: Approximate the Variance of the Horvitz-Thompson Total Estimator

Berger approximate variance estimator

Description

Compute the Berger approximate variance estimator (Berger, 1998) Estimator of class 3, it requires only first-order inclusion probabilities but for all population units.

Usage

var_Berger(y, pik, sample)

Arguments

y	numeric vector of sample observations
pik	numeric vector of first-order inclusion probabilities for all population units
sample	Either a numeric vector of length equal to the sample size with the indices of sample units, or a boolean vector of the same length of pik, indicating which units belong to the sample (TRUE if the unit is in the sample, FALSE otherwise. Only used with estimators of the third class (see Details for more information).

Value

a scalar, the estimated variance

UPSvarApprox documentation built on Aug. 27, 2023, 9:06 a.m.