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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.
For a full book description and ordering information, please refer to http://www.mathworks.com/support/books/book1593.jsp.
Cita come
Valen Johnson (2025). Ordinal Data Modeling (https://it.mathworks.com/matlabcentral/fileexchange/2264-ordinal-data-modeling), MATLAB Central File Exchange. Recuperato .
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johnson/Chapter3/
johnson/Chapter4/
johnson/Chapter5/
johnson/Chapter6/
johnson/Matlab_intro/
johnson/Teaching_Bayes/Examples/Bayes_rule/
johnson/Teaching_Bayes/Examples/Continuous_models/
johnson/Teaching_Bayes/Examples/Discrete_models/
johnson/Teaching_Bayes/Examples/Mean_inference/
johnson/Teaching_Bayes/Examples/Proportion_inference/
johnson/Teaching_Bayes/Examples/Relationships/
johnson/Teaching_Bayes/Examples/Summarizing_posterior/
johnson/Teaching_Bayes/Examples/Two_proportion_inference/
johnson/Teaching_Bayes/Toolbox/
| Versione | Pubblicato | Note della release | |
|---|---|---|---|
| 1.0.0.0 |
