Log-Linear Modeling Concepts, Interpretation, and Application
-
- Einzelkauf Download ausgewählt
-
Sprache:Englisch
-
eBook Format:PDF
- PDF 101,99 € ausgewählt
- ePUB 101,99 €
101,99 €
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
Kopierschutz
Ja
Family Sharing
Nein
Text-to-Speech
Nein
Erscheinungsdatum
14.01.2013
Verlag
John Wiley & SonsSeitenzahl
472 (Printausgabe)
Dateigröße
19663 KB
Auflage
1. Auflage
Sprache
Englisch
EAN
9781118391747
An easily accessible introduction to log-linear modeling fornon-statisticians
Highlighting advances that have lent to the topic's distinct,coherent methodology over the past decade, Log-Linear Modeling:Concepts, Interpretation, and Application provides anessential, introductory treatment of the subject, featuring manynew and advanced log-linear methods, models, and applications.
The book begins with basic coverage of categorical data, andgoes on to describe the basics of hierarchical log-linear models aswell as decomposing effects in cross-classifications andgoodness-of-fit tests. Additional topics include:
* The generalized linear model (GLM) along with popular methodsof coding such as effect coding and dummy coding
* Parameter interpretation and how to ensure that the parametersreflect the hypotheses being studied
* Symmetry, rater agreement, homogeneity of association, logisticregression, and reduced designs models
Throughout the book, real-world data illustrate the applicationof models and understanding of the related results. In addition,each chapter utilizes R, SYSTAT®, and
¿EM software,providing readers with an understanding of these programs in thecontext of hierarchical log-linear modeling.
Log-Linear Modeling is an excellent book for courses oncategorical data analysis at the upper-undergraduate and graduatelevels. It also serves as an excellent reference for appliedresearchers in virtually any area of study, from medicine andstatistics to the social sciences, who analyze empirical data intheir everyday work.
Highlighting advances that have lent to the topic's distinct,coherent methodology over the past decade, Log-Linear Modeling:Concepts, Interpretation, and Application provides anessential, introductory treatment of the subject, featuring manynew and advanced log-linear methods, models, and applications.
The book begins with basic coverage of categorical data, andgoes on to describe the basics of hierarchical log-linear models aswell as decomposing effects in cross-classifications andgoodness-of-fit tests. Additional topics include:
* The generalized linear model (GLM) along with popular methodsof coding such as effect coding and dummy coding
* Parameter interpretation and how to ensure that the parametersreflect the hypotheses being studied
* Symmetry, rater agreement, homogeneity of association, logisticregression, and reduced designs models
Throughout the book, real-world data illustrate the applicationof models and understanding of the related results. In addition,each chapter utilizes R, SYSTAT®, and
¿EM software,providing readers with an understanding of these programs in thecontext of hierarchical log-linear modeling.
Log-Linear Modeling is an excellent book for courses oncategorical data analysis at the upper-undergraduate and graduatelevels. It also serves as an excellent reference for appliedresearchers in virtually any area of study, from medicine andstatistics to the social sciences, who analyze empirical data intheir everyday work.
Noch keine Bewertungen vorhanden
Verfassen Sie die erste Bewertung zu diesem Artikel
Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.
Kurze Frage zu unserer Seite
Vielen Dank für dein Feedback
Wir nutzen dein Feedback, um unsere Produktseiten zu verbessern. Bitte habe Verständnis, dass wir dir keine Rückmeldung geben können. Falls du Kontakt mit uns aufnehmen möchtest, kannst du dich aber gerne an unseren Kund*innenservice wenden.
zum Kundenservice