IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-642-97225-6_1.html

Categorical Data

In: The Statistical Analysis of Categorical Data

Author

Listed:
  • Erling B. Andersen

    (University of Copenhagen, Department of Statistics)

Abstract

This book is about categorical date, i.e. data which can only take a finite or countable number of values. Typical situations, which give rise to a statistical analysis of categorical data are the following: Consider first a population of individuals. For each of these a variable can be measured for which the possible values are the numbers from 1 to m. The variable may for example be the social class, the individual belongs to, with the possible social classes numbered 1 to 5. From the population a sample of n individuals is selected at random and for each of the sampled individuals the social class, he or she belongs to, is observed. The data then consists of the counts x1,...x5 of number of individuals observed in each social class. Based on this data set one statistical problem is to estimate the percentages of individuals in the total population, which belong to the five social classes. Another would be to test hypotheses concerning the distribution of the population on social classes.

Suggested Citation

  • Erling B. Andersen, 1990. "Categorical Data," Springer Books, in: The Statistical Analysis of Categorical Data, chapter 1, pages 1-8, Springer.
  • Handle: RePEc:spr:sprchp:978-3-642-97225-6_1
    DOI: 10.1007/978-3-642-97225-6_1
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-642-97225-6_1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.