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Dirichlet-Multinomial Model for RR Data by Ahmed HAMIMES is a document available to read on EtoBox.

The document discusses the Dirichlet-Multinomial model for analyzing multivariate randomized response (RR) data, particularly for sensitive survey questions. It extends existing models to estimate individual categorical response rates while correcting for the RR design, enabling empirical Bayes estimation even with small sample sizes. The model is applied to a college alcohol study, demonstrating its effectiveness in retrieving sensitive information while maintaining respondent confidentiality.

Author
Ahmed HAMIMES
Language
EN