Bayesian Models for Categorical Data
Buch in deiner Nähe kaufen
Beschreibung
The use of Bayesian methods for the analysis of data has grownsubstantially in areas as diverse as applied statistics,psychology, economics and medical science. Bayesian Methods forCategorical Data sets out to demystify modern Bayesian methods,making them accessible to students and researchers alike.Emphasizing the use of statistical computing and applied dataanalysis, this book provides a comprehensive introduction toBayesian methods of categorical outcomes.
* Reviews recent Bayesian methodology for categorical outcomes(binary, count and multinomial data).
* Considers missing data models techniques and non-standard models(ZIP and negative binomial).
* Evaluates time series and spatio-temporal models for discretedata.
* Features discussion of univariate and multivariatetechniques.
* Provides a set of downloadable worked examples with documentedWinBUGS code, available from an ftp site.
The author's previous 2 bestselling titles provided a comprehensiveintroduction to the theory and application of Bayesian models.Bayesian Models for Categorical Data continues to build upon thisfoundation by developing their application to categorical, ordiscrete data - one of the most common types of data available. Theauthor's clear and logical approach makes the book accessible to awide range of students and practitioners, including those dealingwith categorical data in medicine, sociology, psychology andepidemiology.
Autor*in
Peter Congdon
Themen in »Bayesian Models for Categorical Data«
Angew. Wahrscheinlichkeitsrechn. u. Statistik / Modelle Applied Probability & Statistics - Models Bayesian Analysis Bayessches Verfahren Bayes-Verfahren Data Mining Data Mining Statistics Statistics Statistik
Stimmen zu »Bayesian Models for Categorical Data«
"...a good book on the shelves of researchers in categoricaldata analysis." (Technometrics, May 2007)
"...valuable for anyone interested in how Bayesian ideasapply in practice an should prove useful for anyone using theWINBUGS package for categorical data analysis." (Biometrics,March 2007)
"...an excellent resource for biostatisticians and medicalresearchers." (Doody's Health Services)
"...perfectly suited as a reference for anypractitioner....Congdon has done a laudable job of introducingjointly the concepts of categorical data and Bayesian analysis."(Journal of the American Statistical Association, June2006)
"The author's clear and logical approach makes the bookaccessible" (Zentralblatt MATH Volume 1079)
()