| 书目名称 | Ordinal Data Modeling |
| 编辑 | Valen E. Johnson,James H. Albert |
| 视频video | |
| 丛书名称 | Statistics for Social and Behavioral Sciences |
| 图书封面 |  |
| 描述 | .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. |
| 出版日期 | Textbook 1999 |
| 关键词 | Bayesian inference; DEX; Statistica; computation; data model; data modelling; framework; likelihood; modelin |
| 版次 | 1 |
| doi | https://doi.org/10.1007/b98832 |
| isbn_softcover | 978-1-4757-7290-6 |
| isbn_ebook | 978-0-387-22702-3Series ISSN 2199-7357 Series E-ISSN 2199-7365 |
| issn_series | 2199-7357 |
| copyright | Springer Science+Business Media New York 1999 |
发表于 2025-3-21 18:51:56
