The Statistical Analysis of Categorical Data

Erling B. Andersen

ISBN 10: 364278819X / ISBN 13: 9783642788192

Published by Springer Berlin Heidelberg, 2011

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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. Themathematical 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.

Seller Inventory # 9783642788192

Bibliographic Details

• Title: The Statistical Analysis of Categorical Data
• Publisher: Springer Berlin Heidelberg
• Publication Date: 2011
• Language: English
• ISBN 10: 364278819X
• ISBN 13: 9783642788192
• Binding: Taschenbuch
• Edition: 3rd Edition
• Condition: Neu
• Dimensions: 244W x 170H x 30D millimeters 244 millimeters width by 170 millimeters height by 30 millimeters depth
• Weight: 934 grams

About this title

Synopsis

The book introduces readers to the latest developments in categorical data analysis. It shows how real life data can be analysed, how conclusions are drawn and how models are modified.