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http://dx.doi.org/10.5351/CKSS.2008.15.5.783

Model-Based Prediction of the Population Proportion and Distribution Function Using a Logistic Regression  

Park, Min-Gue (Department of Statistics, Korea University)
Publication Information
Communications for Statistical Applications and Methods / v.15, no.5, 2008 , pp. 783-791 More about this Journal
Abstract
Estimation procedure of the finite population proportion and distribution function is considered. Based on a logistic regression model, an approximately model- optimal estimator is defined and conditions for the estimator to be design-consistent are given. Simulation study shows that the model-optimal design-consistent estimator defined under a logistic regression model performs well in estimating the finite population distribution function.
Keywords
MLE; design consistency; distribution function estimation; model-based approach;
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