sugarcane

The sugarcane data shows the disposition area (land
area under cane) for individual sugarcane farms
and their cane productions with the incomes/earnings
for the year 2010 in Fiji.

datasets

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

sugarcane function

A data frame with 13894 observations corresponding to individual farms.
The following are the variables:
<dl>
<dt><code>DispArea</code></dt>
<dd>Disposition area (or land area under cane) (hactares)</dd><dt><code>Production</code></dt>
<dd>The amount of sugarcane produced in the farm (tonnes)</dd><dt><code>Income</code></dt>
<dd>Net income or money paid to farmers) (in FJD)</dd></dl>

Format

Sugarcane Farming Data in Fiji — sugarcane

A data frame with 13894 observations corresponding to individual farms.
The following are the variables:
<dl>
<dt><code>DispArea</code></dt>
<dd>Disposition area (or land area under cane) (hactares)</dd>

<dt><code>Production</code></dt>
<dd>The amount of sugarcane produced in the farm (tonnes)</dd>

<dt><code>Income</code></dt>
<dd>Net income or money paid to farmers) (in FJD)</dd>

</dl>

sugarcane: Sugarcane Farming Data in Fiji

Description

Usage

Arguments

Format

Examples