Ordinal data modeling

• 作者: Johnson, Valen E.
• 其他作者: Albert, Jim,
• 出版: New York : Springer ©1999.
• 稽核項: 1 online resource (x, 258 pages).
• 叢書名: Statistics for social science and public policy
• 標題: Statistical methods. , Probability & StatisticsGeneral. , Numbers, Ordinal. , Policy sciences Statistical methods. , MATHEMATICS Probability & Statistics -- General. , Social sciences Statistical methods. , Electronic books. , Policy sciences , MATHEMATICS , Social sciences
• ISBN: 0387227024 , 9780387227023
• ISBN: 0387987185 , 9780387987187
• 試查全文@TNUA:
  
• 附註: Includes bibliographical references (pages 249-254) and index. Cover -- Preface -- Table of Contents -- 1. Review of Classical and Bayesian Inference -- 2. Review of Bayesian Computation -- 3. Regression Models for Binary Data -- 4. Regression Models for Ordinal Data -- 5. Analyzing Data from Multiple Raters -- 6. Item Response Modeling -- 7. Graded Response Models: A Case Study of Undergraduate Grade Data -- Appendix: Software for Ordinal Data Modeling -- References.
• 摘要: 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.
• 電子資源: https://dbs.tnua.edu.tw/login?url=https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=104560
• 系統號: 005307188
• 資料類型: 電子書
• 讀者標籤: 需登入
• 引用網址: 複製連結
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