The statistical analysis of categorical data / Erling B. Andersen

Erling B. Andersen

ISBN 10: 3540521399 / ISBN 13: 9783540521396

Published by Berlin ; Heidelberg ; New York ; London ; Paris ; Tokyo ; Hong Kong : Springer, 1990

About this Item

* Umfang/Format: IX, 522 Seiten : graph. Darst. ; 25 cm * Anmerkungen: Literaturverz. Seiten 495 - 509 * Erscheinungsjahr: 1990 * Einbandart und Originalverkaufspreis: fester Pappeinband : DM 178.00 fester Pappeinband This book deals with the analysis of categorical data. Statistical models, especially log-linear models for contingency tables and logistic regression, are described and applied to real life data. Special emphasis is given to the use of graphical methods. The book is intended as a text for both undergraduate and graduate courses for statisticians, applied statisticians, social scientists, economists and epidemiologists. Many examples and exercises with solutions should help the reader to understand the material. gepflegtes Exemplar, nur kleine Lesespuren, Bibliotheksstempel * Verlag: Berlin ; Heidelberg ; New York ; London ; Paris ; Tokyo ; Hong Kong : Springer.

Seller Inventory # B00015023

Bibliographic Details

• Title: The statistical analysis of categorical data / Erling B. Andersen
• Publisher: Berlin ; Heidelberg ; New York ; London ; Paris ; Tokyo ; Hong Kong : Springer
• Publication Date: 1990
• Language: English
• ISBN 10: 3540521399
• ISBN 13: 9783540521396
• Binding: Hardcover
• Weight: 1900 grams

About this title

Synopsis

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.