© 1991

The Statistical Analysis of Categorical Data


Table of contents

  1. Front Matter
    Pages I-XI
  2. Erling B. Andersen
    Pages 1-8
  3. Erling B. Andersen
    Pages 9-24
  4. Erling B. Andersen
    Pages 25-88
  5. Erling B. Andersen
    Pages 89-130
  6. Erling B. Andersen
    Pages 131-178
  7. Erling B. Andersen
    Pages 179-211
  8. Erling B. Andersen
    Pages 212-238
  9. Erling B. Andersen
    Pages 239-268
  10. Erling B. Andersen
    Pages 269-319
  11. Erling B. Andersen
    Pages 320-361
  12. Erling B. Andersen
    Pages 362-405
  13. Erling B. Andersen
    Pages 406-494
  14. Erling B. Andersen
    Pages 495-503
  15. Back Matter
    Pages 504-532

About this book


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 iu chapter 3 of basic properties of exponential families aud the parametric llluitillOl1lia.l distribuLioll is made as mathematical precise as possible without going into mathematical details and leaving out most proofs.


Angewandte Statistik Korrespondenzanalyse Logistische Regression Psychologie Psychology applied statistics calculus economics modeling regression regression analysis statistical analysis statistical inference statistical models statistics

Authors and affiliations

  1. 1.Department of StatisticsUniversity of CopenhagenCopenhagen KDenmark

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