var_Hajek

Compute an approximate variance estimate using the approximation of
joint-inclusion probabilities proposed by Hájek (1964).
Estimator of class 2, it requires only first-order inclusion probabilities and
only for sample units.

internal

Variance approximations for the
Horvitz-Thompson total estimator in Unequal Probability Sampling
using only first-order inclusion probabilities.
See Matei and Tillé (2005) and Haziza, Mecatti and Rao (2008) for details.

Roberto Sichera

UPSvarApprox

Approximate the Variance of the Horvitz-Thompson Total Estimator

var_Hajek function

<dl><dt>y</dt>
<dd>numeric vector of sample observations</dd>
<dt>pik</dt>
<dd>numeric vector of first-order inclusion probabilities for sample units</dd></dl>

Arguments

Hájek Approximate Variance Estimator — var_Hajek

<dl>

<dt>y</dt>
<dd>numeric vector of sample observations</dd>


<dt>pik</dt>
<dd>numeric vector of first-order inclusion probabilities for sample units</dd>

</dl>

var_Hajek: Hájek Approximate Variance Estimator

Description

Usage

Value

Arguments