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Estimating a Binomial Proportion with Bayes Estimated Imputed Conditional Means
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 Title & Authors
Estimating a Binomial Proportion with Bayes Estimated Imputed Conditional Means
Shin, Min-Woong; Lee, Sang-Eun;
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 Abstract
The one of analytic imputation technique involving conditional means was mentioned by Schafer and Schenker(2000). And their derivations are based on asymptotic expansions of point estimator and their associated variance estimator, and the result of imputation can be thought of as first-order approximations to the estimators. Specially in this paper, we are presenting the method of estimating a Binomial proportion with Bayesian approach of imputed conditional means. That is, instead of using maximum likelihood(ML) estimator to estimate a Binomial proportion, in general, we use the Bayesian estimators and will show the result of estimated Imputed conditional means.
 Keywords
Missing data;Imputation;Bayesian estimator;Conditional means;
 Language
English
 Cited by
 References
1.
Multiple Imputation for Nonresponse in Survey, 1987.

2.
Inference With Imputed Conditioned Means JASA, 2000. vol.95. 449,

3.
Bayesian Statistics: An Introduction, 1988.

4.
Applied Multivariate Analysis: Using Bayesian and Frequentist Methods of Inference, 1982.

5.
Statistical Analysis with missing data, 1986.