Ordinal Data Modeling
Valen E. Johnson, James H. Albert
Presents a comprehensive treatment of ordinal data models from both likelihood and Bayesian perspectives. Describes a coherent framework for understanding binary and ordinal regression models, item response models, graded response models, and ROC analyses. DLC: Social sciences--Statistical methods.
Categories:
Year:
1999
Edition:
Corrected
Publisher:
Springer
Language:
english
Pages:
268
ISBN 10:
0387987185
ISBN 13:
9780387987187
Series:
Statistics for Social and Behavioral Sciences
File:
PDF, 1.75 MB
IPFS:
,
english, 1999