dataZIBns

Dataset to simulate Small Area Estimation using Hierarchical Bayesian Method under Zero-Inflated Binomial distribution with non-sampled areas
This data contains NA values that indicates no sampled at one or more small areas. It uses the dataZIB.ns with the direct estimates and the related variances in 3 small areas are missing.

datasets

Provides function for area level of small area estimation using hierarchical Bayesian (HB) method with Zero-Inflated Binomial distribution for variables of interest. Some dataset produced by a data generation are also provided. The 'rjags' package is employed to obtain parameter estimates. Model-based estimators involves the HB estimators which include the mean and the variation of mean.

Rizqina Rahmati

saeHB.ZIB

Small Area Estimation using Hierarchical Bayesian under Zero
Inflated Binomial Distribution

dataZIBns function

A data frame with 30 rows and 4 variables :<dl class="dl-horizontal">
<dt>y</dt><dd>Direct Estimation of y</dd>
<dt>X1</dt><dd>Auxiliary variable of x1</dd>
<dt>X2</dt><dd>Auxiliary variable of x2</dd>
<dt>vardir</dt><dd>sampling variance of y</dd>
<dt>s</dt><dd>number of sample</dd>
</dl>

Format

Sample Data for Small Area Estimation using Hierarchical Bayesian Method under Zero-Inflated Binomial Distribution — dataZIBns

A data frame with 30 rows and 4 variables :<dl class='dl-horizontal'>
<dt>y</dt><dd>Direct Estimation of y</dd>
<dt>X1</dt><dd>Auxiliary variable of x1</dd>
<dt>X2</dt><dd>Auxiliary variable of x2</dd>
<dt>vardir</dt><dd>sampling variance of y</dd>
<dt>s</dt><dd>number of sample</dd>
</dl>

dataZIBns: Sample Data for Small Area Estimation using Hierarchical Bayesian Method under Zero-Inflated Binomial Distribution

Description

Usage

Arguments

Format