Ordinal Data Modeling |
|
| Author:
| Albert, James H.
Johnson, Valen E. |
| Editor:
| Fienberg, S.
Lievesley, D.
Rolph, J. |
| Series title: | Statistics for Social and Behavioral Sciences Ser. |
| ISBN: | 978-0-387-98718-7 |
| Publication Date: | Mar 1999 |
| Publisher: | Springer New York
|
| Imprint: | Springer |
| Book Format: | Hardback |
| List Price: | USD $54.99 |
Book Description:
|
Ordinal Data Modeling is a comprehensive treatment of ordinal data models from both likelihood and Bayesian perspectives. 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.
Ordinal Data Modeling is a comprehensive treatment of ordinal data models from both likelihood and Bayesian perspectives. 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.