ppBS_srs

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_srs function

<dl><dt>y</dt>
<dd>vector of sample values</dd>
<dt>N</dt>
<dd>scalar, represents the population size</dd>
<dt>B</dt>
<dd>scalar, number of bootstrap replications</dd>
<dt>D</dt>
<dd>scalar, number of replications for the double bootstrap (when applicable)</dd>
<dt>method</dt>
<dd>a string indicating the bootstrap method to be used, available
methods are: 'Gross', 'Booth', 'ChaoLo85', 'ChaoLo94', 'BickelFreedman', 'Sitter'</dd></dl>

Arguments

Pseudo-population bootstrap for simple random sampling — ppBS_srs

<dl>

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


<dt>N</dt>
<dd>scalar, represents the population size</dd>


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


<dt>D</dt>
<dd>scalar, number of replications for the double bootstrap (when applicable)</dd>


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

</dl>

ppBS_srs: Pseudo-population bootstrap for simple random sampling

Description

Usage

Arguments

Details

References