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Covariate Models

  • Albert W. Marshall
  • Ingram Olkin
Part of the Springer Series in Statistics book series (SSS)

Abstract

In many populations, factors can be recognized the presence of which increases the population heterogeneity. Especially when the factors are categorical (say, male/female or species of trees), it is common to break the population into subpopulations. But for factors such as blood pressure or age, the consideration of subpopulations may not be practical, and an alternative approach is to make use of covariate models.

Keywords

Hazard Rate Survival Function Covariate Model Proportional Odds Model Generalize Gamma 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 2007

Authors and Affiliations

  • Albert W. Marshall
    • 1
  • Ingram Olkin
    • 2
  1. 1.Department of StatisticsUniversity of British ColumbiaVancouverCanada
  2. 2.Department of StatisticsStanford UniversityStanfordUSA

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