The Statistical Analysis of Categorical Data

Andersen, Erling B.:

ISBN 10: 3540576967 / ISBN 13: 9783540576969

Verlag: Springer Berlin, 1994

Beschreibung

532 S. Neu! - Versandfertig am nächsten Tag; Rechnung mit MwSt. liegt bei! Sprache: Englisch Gewicht in Gramm: 1020.

Bestandsnummer des Verkäufers 32124

Bibliografische Details

• Titel: The Statistical Analysis of Categorical Data
• Verlag: Springer Berlin
• Erscheinungsjahr: 1994
• Sprache: Englisch
• ISBN-10: 3540576967
• ISBN-13: 9783540576969
• Einband: Hardcover
• Auflage: 3., ed. 1994. 2nd printing.
• Zustand: Neu
• Gewicht: 1020 Gramm
• Verkäuferkataloge:
  • Wirtschaft

Über diesen Titel

Inhaltsangabe

This monograph on the analysis of categorical data places special emphasis on applications in economics, political science and the social sciences. The book gives a brief theoretical introduction to log-linear modelling of categorical data, and then an up-to-date account of models and methods for the statistical analysis of categorical data, including recent developments in logistic regression models, correspondence analysis and latent structure analysis. Also treated are the RC association models brought to prominence in recent years by Leo Goodman. New statistical features such as the use of association graphs, residuals and regression diagnostics are carefully explained, and the theory and methods are extensively illustrated by real-life data.

Reseña del editor

The aim of this book is to give an up to date account of the most commonly uses statisti­ cal models for categorical data. The emphasis is on the connection between theory and applications to real data sets. The book only covers models for categorical data. Various models for mixed continuous and categorical data are thus excluded. The book is written as a textbook, although many methods and results are quite recent. This should imply, that the book can be used for a graduate course in categorical data analysis. With this aim in mind chapters 3 to 12 are concluded with a set of exer­ cises. In many cases, the data sets are those data sets, which were not included in the examples of the book, although they at one point in time were regarded as potential can­ didates for an example. A certain amount of general knowledge of statistical theory is necessary to fully benefit from the book. A summary of the basic statistical concepts deemed necessary pre­ requisites is given in chapter 2. The mathematical level is only moderately high, but the account in chapter 3 of basic properties of exponential families and the parametric multinomial distribution is made as mathematical precise as possible without going into mathematical details and leaving out most proofs.