dataEB

An example data for trying and testing in saebnocov package

datasets

Estimates the parameter of small area in binary data without
auxiliary variable using Empirical Bayes technique, mainly from Rao
and Molina (2015,ISBN:9781118735787) with book entitled "Small Area Estimation Second Edition".
This package provides another option of direct estimation using weight.
This package also features alpha and beta parameter estimation on calculating process of small area.
Those methods are Newton-Raphson and Moment which based on Wilcox (1979) <doi:10.1177/001316447903900302>
and Kleinman (1973) <doi:10.1080/01621459.1973.10481332>.

Siti Rafika Fiandasari

saebnocov

Small Area Estimation using Empirical Bayes without Auxiliary
Variable

Margaretha Ari Anggorowati

Bahrul Ilmi Nasution

dataEB function

A sample data has 3 column, which are:<dl>
<dt>code</dt>
<dd>code of each area</dd><dt>y</dt>
<dd>status "success" or not in each unit sample of each area</dd><dt>weight</dt>
<dd>a weight value in each unit sample of each area</dd>
</dl>

Format

Sample Data for Practice — dataEB

A sample data has 3 column, which are:<dl>
<dt>code</dt>
<dd>code of each area</dd>

<dt>y</dt>
<dd>status "success" or not in each unit sample of each area</dd>

<dt>weight</dt>
<dd>a weight value in each unit sample of each area</dd>


</dl>

dataEB: Sample Data for Practice

Description

Usage

Arguments

Format

Examples