Ordinal data modeling - Info and Reading Options

The Open Library:

Ordinal Data Modeling is a comprehensive treatment of ordinal data models from both likelihood and Bayesian perspectives. Written for graduate students and researchers in the statistical and social sciences, this book describes a coherent framework for understanding binary and ordinal regression models, item response models, graded response models, and ROC analyses, and 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, and considerable attention is devoted to the description of diagnostic plots and residual analyses. Software and datasets used for all analyses described in the text are available on websites listed in the preface.

Search for “Ordinal data modeling” downloads:

Visit our Downloads Search page to see if downloads are available.

Find “Ordinal data modeling” in Libraries Near You:

Read or borrow “Ordinal data modeling” from your local library.

• The WorldCat Libraries Catalog: Find a copy of “Ordinal data modeling” at a library near you.