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Linear Models pp 247-284 | Cite as

Models for Binary Response Variables

  • Calyampudi Radhakrishna Rao
  • Helge Toutenburg
Part of the Springer Series in Statistics book series (SSS)

Abstract

The test procedures in the linear regression model are based on the normal distribution of the error variable ∊ and thus on a normal distribution of the endogenous variable Y. However, in many fields of application this assumption may not be true. The response variable Y may be defined as a binary variable, or more generally, as a categorical variable. Thus Y has a binomial or a multinomial distribution.

Keywords

Contingency Table Joint Distribution Failure Time Saturated Model Multinomial Distribution 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 1995

Authors and Affiliations

  • Calyampudi Radhakrishna Rao
    • 1
  • Helge Toutenburg
    • 2
  1. 1.Department of StatisticsThe Pennsylvania State UniversityUniversity ParkUSA
  2. 2.Institut für StatistikUniversität MünchenMünchenGermany

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