Ordinal Data Modeling (Hardcover) (ISBN-13: 9780387987187)

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.

Author: Valen E. Johnson,James H. Albert
ISBN-10: 0387987185
ISBN-13: 9780387987187
Publisher: Springer
Language: English
Published: 03/30/1999
Pages: 258
Format: Hardcover
Weight: 1.17lbs
Size: 9.49h x 6.35w x 0.69d