Del i serien Statistics for Social and Behavioral Sciences

Ordinal Data Modeling

Inbunden, Engelska, 1999

AvValen E. Johnson,James H. Albert

699 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

Finns i fler format (1)

Häftad

699 kr

Skickas inom 10-15 vardagar

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.

Produktinformation

Utgivningsdatum1999-03-30
Mått155 x 235 x 21 mm
Vikt582 g
FormatInbunden
SpråkEngelska
SerieStatistics for Social and Behavioral Sciences
Antal sidor258
Upplaga1999
FörlagSpringer-Verlag New York Inc.
ISBN9780387987187

Tillhör följande kategorier

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)."