ppBS_ups

Pseudo-population bootstrap for simple random sampling

internal

Finite Population bootstrap algorithms to estimate the variance
of the Horvitz-Thompson estimator for single-stage sampling.
For a survey of bootstrap methods for finite populations, see Mashreghi et Al. (2016) <doi:10.1214/16-SS113>.

Roberto Sichera

bootstrapFP

Bootstrap Algorithms for Finite Population Inference

ppBS_ups function

<dl><dt>y</dt>
<dd>vector of sample values</dd>
<dt>pik</dt>
<dd>vector of sample first-order inclusion probabilities</dd>
<dt>B</dt>
<dd>scalar, number of bootstrap replications</dd>
<dt>D</dt>
<dd>scalar, number of replications for the double bootstrap</dd>
<dt>method</dt>
<dd>a string indicating the bootstrap method to be used, available
methods are: 'Gross', 'Booth', 'ChaoLo85', 'ChaoLo94', 'BickelFreedman', 'Sitter'</dd>
<dt>smplFUN</dt>
<dd>a function that takes as input a vector of length N of 
inclusion probabilities and return a vector of length N, either logical or a 
vector of 0s and 1s, where <code>TRUE</code> or <code>1</code> indicate sampled
units and <code>FALSE</code> or <code>0</code> indicate non-sample units.</dd>
<dt>x</dt>
<dd>vector of length N with values of the auxiliary variable for all population units,
only required if method "HotDeck" is chosen</dd>
<dt>s</dt>
<dd>logical vector of length N, TRUE for units in the sample, FALSE otherwise. 
Alternatively, a vector of length n with the indices of the sample units.
Only required for "HotDeck" method.</dd></dl>

Arguments

Pseudo-population bootstrap for simple random sampling — ppBS_ups

<dl>

<dt>y</dt>
<dd>vector of sample values</dd>


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


<dt>B</dt>
<dd>scalar, number of bootstrap replications</dd>


<dt>D</dt>
<dd>scalar, number of replications for the double bootstrap</dd>


<dt>method</dt>
<dd>a string indicating the bootstrap method to be used, available
methods are: 'Gross', 'Booth', 'ChaoLo85', 'ChaoLo94', 'BickelFreedman', 'Sitter'</dd>


<dt>smplFUN</dt>
<dd>a function that takes as input a vector of length N of 
inclusion probabilities and return a vector of length N, either logical or a 
vector of 0s and 1s, where <code>TRUE</code> or <code>1</code> indicate sampled
units and <code>FALSE</code> or <code>0</code> indicate non-sample units.</dd>


<dt>x</dt>
<dd>vector of length N with values of the auxiliary variable for all population units,
only required if method "HotDeck" is chosen</dd>


<dt>s</dt>
<dd>logical vector of length N, TRUE for units in the sample, FALSE otherwise. 
Alternatively, a vector of length n with the indices of the sample units.
Only required for "HotDeck" method.</dd>

</dl>

ppBS_ups: Pseudo-population bootstrap for simple random sampling

Description

Usage

Arguments

References