Description:
This book is a comprehensive treatment of ordinal data models from both likelihood & Bayesian perspectives. Book describes a coherent framework for understanding binary & ordinal regression models, item response models, graded response models, & ROC analyses, & for exposing the close connection between these models. A unique feature of this text is its emphasis on applications. All models developed in the book are motivated by real datasets, & considerable attention is devoted to the description of diagnostic plots & residual analyses.
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