dataSAEZIP

A Dataset which is generate with Zero-Inflated Poisson method for Small Area Estimation purpose
This data is generated based on Zero-Inflated Poisson with EBLUP based model

datasets

This function produces empirical best linier unbiased predictions (EBLUPs) for Zero-Inflated data and its Relative Standard Error. Small Area Estimation with Zero-Inflated Model (SAE-ZIP) is a model developed for Zero-Inflated data that can lead us to overdispersion situation. To handle this kind of situation, this model is created. The model in this package is based on Small Area Estimation with Zero-Inflated Poisson model proposed by Dian Christien Arisona (2018)<https://repository.ipb.ac.id/handle/123456789/92308>. For the data sample itself, we use combination method between Roberto Benavent and Domingo Morales (2015)<doi:10.1016/j.csda.2015.07.013> and Sabine Krieg, Harm Jan Boonstra and Marc Smeets (2016)<doi:10.1515/jos-2016-0051>.

Fadheel Wisnu Utomo

zipsae

Small Area Estimation with Zero-Inflated Model

Ika Yuni Wulansari

dataSAEZIP function

A data frame with 300 rows and 3 variables:<dl class="dl-horizontal">
 <dt>y</dt><dd>Direct Estimation of y</dd>
 <dt>x1</dt><dd>Auxiliary variable of x1</dd>
 <dt>vardir</dt><dd>Sampling Variance of y</dd>
</dl>

Format

Sample Data for Small Area Estimation with Zero-Inflated Poisson model — dataSAEZIP

A data frame with 300 rows and 3 variables:<dl class='dl-horizontal'>
 <dt>y</dt><dd>Direct Estimation of y</dd>
 <dt>x1</dt><dd>Auxiliary variable of x1</dd>
 <dt>vardir</dt><dd>Sampling Variance of y</dd>
</dl>

dataSAEZIP: Sample Data for Small Area Estimation with Zero-Inflated Poisson model

Description

Usage

Arguments

Format