Bayesian Inference for the Difference of Two Proportion Parameters in Over-Reported Two-Sample Binomial Data Using the Doubly Sample
We construct a point and interval estimation using a Bayesian approach for the difference of two population proportion parameters based on two independent samples of binomial data subject to one type of misclassification. Specifically, we derive an easy-to-implement closed-form algorithm for drawing...
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Published in | Stats (Basel, Switzerland) Vol. 2; no. 1; pp. 111 - 120 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
01.03.2019
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Online Access | Get full text |
ISSN | 2571-905X 2571-905X |
DOI | 10.3390/stats2010009 |
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Summary: | We construct a point and interval estimation using a Bayesian approach for the difference of two population proportion parameters based on two independent samples of binomial data subject to one type of misclassification. Specifically, we derive an easy-to-implement closed-form algorithm for drawing from the posterior distributions. For illustration, we applied our algorithm to a real data example. Finally, we conduct simulation studies to demonstrate the efficiency of our algorithm for Bayesian inference. |
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ISSN: | 2571-905X 2571-905X |
DOI: | 10.3390/stats2010009 |