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Ordinal Data Modeling

BuchGebunden
258 Seiten
Englisch
Springererschienen am30.03.19991999
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.mehr
Verfügbare Formate
BuchGebunden
EUR53,49
BuchKartoniert, Paperback
EUR53,49
E-BookPDF1 - PDF WatermarkE-Book
EUR53,49

Produkt

KlappentextWritten 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.
ZusammenfassungOrdinal 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 andresidual analyses. Software and datasets used for all analyses described in the text are available on websites listed in the preface.
Details
ISBN/GTIN978-0-387-98718-7
ProduktartBuch
EinbandartGebunden
Verlag
Erscheinungsjahr1999
Erscheinungsdatum30.03.1999
Auflage1999
Seiten258 Seiten
SpracheEnglisch
Gewicht568 g
IllustrationenX, 258 p.
Artikel-Nr.10471174

Inhalt/Kritik

Inhaltsverzeichnis
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.mehr
Kritik
From the reviews:

STATISTICAL METHODS IN MEDICAL RESEARCH

"The book is an excellent introduction to Bayesian methods of original data modeling...the book is well written and all concepts are presented in a clear manner. Notation is consistent throughout the book and ideas in later chapters logically build on previous material. Fundamental concepts discussed by the authors are well presented. The authors are particularly savvy at connecting new ideas to previous knowledge. This book would make an excellent supplementary text to an individual doing research in these areas...This book does provide valuable information about modeling original data using Bayesian methods. This text provides a valuable addition to a researcher's library (especially those working in psychometrics or educational statistics)."
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