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27.01.2024
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Presents a comprehensive treatment of ordinal data models from both likelihood and Bayesian perspectives. Describes a coherent framework for understanding binary and ordinal regression models, item response models, graded response models, and ROC analyses. DLC: Social sciences--Statistical methods.
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