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

Other Titles
Model-Based Prediction of the Population Proportion and Distribution Function Using a Logistic Regression
Authors
박민규
Issue Date
2008
Publisher
한국통계학회
Keywords
MLE; design consistency; distribution function estimation; model-based approach.
Citation
Communications for Statistical Applications and Methods, v.15, no.5, pp.783 - 791
Indexed
KCI
Journal Title
Communications for Statistical Applications and Methods
Volume
15
Number
5
Start Page
783
End Page
791
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/124605
ISSN
2287-7843
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.
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College of Political Science & Economics > Department of Statistics > 1. Journal Articles

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