mspe_MS_LOGISTIC_JLW

Model selection MSPE estimation in mixed logistic model using jackknife method.Calculate the model selection mspe of mixed logistic model using jackknife method.

Estimation of mean squared prediction error of a small area predictor is provided. In particular, the recent method of Simple, Unified, Monte-Carlo Assisted approach for the mean squared prediction error estimation of small area predictor is provided. We also provide other existing methods of mean squared prediction error estimation such as jackknife method for the mixed logistic model.

Mahmoud Torabi

SumcaVer1

Mean Square Prediction Error Estimation in Small Area Estimation

Jiming Jiang

mspe_MS_LOGISTIC_JLW function

<dl><dt>m</dt>
<dd>number of small areas</dd>
<dt>p</dt>
<dd>number of complete model parameters</dd>
<dt>ni</dt>
<dd>sample size of each small area</dd>
<dt>X</dt>
<dd>covariates for the complete model</dd>
<dt>beta</dt>
<dd>regression coefficients of the complete model</dd>
<dt>A</dt>
<dd>variance of area-specific random effects</dd>
<dt>R</dt>
<dd>number of simulation runs</dd></dl>

Arguments

Model selection MSPE estimation in mixed logistic model using jackknife method.Calculate the model selection mspe of mixed logistic model using jackknife method. — mspe_MS_LOGISTIC_JLW

<dl>

<dt>m</dt>
<dd>number of small areas</dd>


<dt>p</dt>
<dd>number of complete model parameters</dd>


<dt>ni</dt>
<dd>sample size of each small area</dd>


<dt>X</dt>
<dd>covariates for the complete model</dd>


<dt>beta</dt>
<dd>regression coefficients of the complete model</dd>


<dt>A</dt>
<dd>variance of area-specific random effects</dd>


<dt>R</dt>
<dd>number of simulation runs</dd>

</dl>

Model selection MSPE estimation in mixed logistic model using jackknife method.Calculate the model selection mspe of mixed logistic model using jackknife method.

mspe_MS_LOGISTIC_JLW: Model selection MSPE estimation in mixed logistic model using jackknife method.Calculate the model selection mspe of mixed logistic model using jackknife method.

Description

Usage

Value

Arguments

Examples