Ordinal Data Modeling (Hardcover, 1st ed. 1999. Corr. 2nd printing 2000)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Statistics for Social and Behavioral Sciences
Release date:	December 2000
First published:	2001
Authors:	Valen E. Johnson • James H Albert
Dimensions:	235 x 155 x 17mm (L x W x T)
Format:	Hardcover
Pages:	258
Edition:	1st ed. 1999. Corr. 2nd printing 2000
ISBN-13:	978-0-387-98718-7
Categories:	Books > Social sciences > Sociology, social studies > Social theory Books > Science & Mathematics > Mathematics > Probability & statistics Books > Social sciences > Sociology, social studies > Social research & statistics > General
LSN:	0-387-98718-5
Barcode:	9780387987187

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!