realloc

A vector: the osb that has been calculated

A vector: the stratum sample sizes that have been initially calculated

A vector: the stratum population sizes that have been initially calculated

nume

The environment my_env has various constants and outputs stored
from earlier opeartions through various other functions

my_env

This function re-calculates or re-allocate the stratum sample sizes 
(nh) after it has already been initially allocated via Neyman
allocation. This is applied to resolve the problem of oversampling 
in one or more of the strata.

The stratification of univariate populations under stratified sampling designs is implemented according to Khan et al. (2002) <doi:10.1177/0008068320020518> and Khan et al. (2015) <doi:10.1080/02664763.2015.1018674> in this library. It determines the Optimum Strata Boundaries (OSB) and Optimum Sample Sizes (OSS) for the study variable, y, using the best-fit frequency distribution of a survey variable (if data is available) or a hypothetical distribution (if data is not available). The method formulates the problem of determining the OSB as mathematical programming problem which is solved by using a dynamic programming technique. If a dataset of the population is available to the surveyor, the method estimates its best-fit distribution and determines the OSB and OSS under Neyman allocation directly. When the dataset is not available, stratification is made based on the assumption that the values of the study variable, y, are available as hypothetical realizations of proxy values of y from recent surveys. Thus, it requires certain distributional assumptions about the study variable. At present, it handles stratification for the populations where the study variable follows a continuous distribution, namely, Pareto, Triangular, Right-triangular, Weibull, Gamma, Exponential, Uniform, Normal, Log-normal and Cauchy distributions.

Karuna G. Reddy

stratifyR

Optimal Stratification of Univariate Populations

M. G. M. Khan

realloc function

<dl><dt>h</dt>
<dd>A numeric: the no. of strata</dd>
<dt>x</dt>
<dd>A vector: the osb that has been calculated</dd>
<dt>nh</dt>
<dd>A vector: the stratum sample sizes that have been initially calculated</dd>
<dt>Nh</dt>
<dd>A vector: the stratum population sizes that have been initially calculated</dd>
<dt>nume</dt>
<dd>A numeric: the numerator total</dd>
<dt>my_env</dt>
<dd>The environment my_env has various constants and outputs stored
from earlier opeartions through various other functions</dd></dl>

Arguments

Karuna Reddy &lt;karuna.reddy@usp.ac.fj&gt; 
MGM Khan &lt;khan_mg@usp.ac.fj&gt;

Author

To re-allocate the stratum sample sizes (nh) — realloc

<dl>

<dt>h</dt>
<dd>A numeric: the no. of strata</dd>


<dt>x</dt>
<dd>A vector: the osb that has been calculated</dd>


<dt>nh</dt>
<dd>A vector: the stratum sample sizes that have been initially calculated</dd>


<dt>Nh</dt>
<dd>A vector: the stratum population sizes that have been initially calculated</dd>


<dt>nume</dt>
<dd>A numeric: the numerator total</dd>


<dt>my_env</dt>
<dd>The environment my_env has various constants and outputs stored
from earlier opeartions through various other functions</dd>

</dl>

Karuna Reddy &lt;karuna.reddy@usp.ac.fj&gt; 
MGM Khan &lt;khan_mg@usp.ac.fj&gt;

realloc: To re-allocate the stratum sample sizes (nh)

Description

Usage

Value

Arguments

Author