logLik.eblupres

Implementation of small area estimation (Fay-Herriot model) with EBLUP (Empirical Best Linear Unbiased Prediction) Approach for non-sampled area estimation by adding cluster information and assuming that there are similarities among particular areas. See also Rao & Molina (2015, ISBN:978-1-118-73578-7) and Anisa et al. (2013) <doi:10.9790/5728-10121519>.

Ridson Al Farizal P 

saens

Small Area Estimation with Cluster Information for Estimation of
Non-Sampled Areas

Azka Ubaidillah 

logLik.eblupres function

<dl><dt>object</dt>
<dd>EBLUP model.</dd>
<dt>...</dt>
<dd>further arguments passed to or from other methods.</dd></dl>

Arguments

Extract Log-Likelihood. — logLik.eblupres

<dl>

<dt>object</dt>
<dd>EBLUP model.</dd>


<dt>...</dt>
<dd>further arguments passed to or from other methods.</dd>

</dl>

logLik.eblupres: Extract Log-Likelihood.

Description

Usage

Value

Arguments

Examples