Buch, Englisch, 258 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1250 g
Buch, Englisch, 258 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1250 g
Reihe: Statistics for Social and Behavioral Sciences
ISBN: 978-0-387-98718-7
Verlag: Springer
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
- Mathematik | Informatik Mathematik Stochastik Wahrscheinlichkeitsrechnung
- Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Gesellschaftstheorie
- Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Empirische Sozialforschung, Statistik
Weitere Infos & Material
Review of Classical and Bayesian Inference.- Review of Bayesian Computation.- Regression Models for Binary Data.- Regression Models for Ordinal Data.- Analyzing Data from Multiple Raters.- Item Response Modeling.- Graded Response Models: A Case Study of Undergraduate Grade Data.
