English, Article edition: LOGISTIC REGRESSION WITH CATEGORICAL DEPENDENT VARIABLE Iva Pecáková

User activity

Share to:
 
Bookmark: http://trove.nla.gov.au/version/197138
Physical Description
  • article
Language
  • English

Edition details

Title
  • LOGISTIC REGRESSION WITH CATEGORICAL DEPENDENT VARIABLE
Author
  • Iva Pecáková
Physical Description
  • article
Notes
  • The regression model with categorical dependent variable is a natural generalization of the model with binary dependent variable. It is based on the use of baseline logits. For its building and for the evaluation of its quality, analogous procedures to the case of binary dependent variable are applied. When the categories of dependent variable are ordered (ordinal variable) the construction of model can be based on adjacent or cumulative logits or on proportional odds. The way of building of the model influences the meaning and the interpretation of its parameters.
  • categorical dependent variable, logistic regression, logit models
  • RePEc:prg:jnlaop:v:2007:y:2007:i:1:id:42:p:86-96
Language
  • English
Contributed by
OAIster

Get this edition

  • Set up My libraries

    How do I set up "My libraries"?

    In order to set up a list of libraries that you have access to, you must first login or sign up. Then set up a personal list of libraries from your profile page by clicking on your user name at the top right of any screen.

  • All (1)
  • Unknown (1)
None of your libraries hold this item.
None of your libraries hold this item.
None of your libraries hold this item.
None of your libraries hold this item.
None of your libraries hold this item.
None of your libraries hold this item.
None of your libraries hold this item.
None of your libraries hold this item.

User activity


e.g. test cricket, Perth (WA), "Parkes, Henry"

Separate different tags with a comma. To include a comma in your tag, surround the tag with double quotes.

Be the first to add a tag for this edition

Be the first to add this to a list

Comments and reviews

What are comments? Add a comment

No user comments or reviews for this version

Add a comment