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Categorical Regression Models

In: Regression

Author

Listed:
  • Ludwig Fahrmeir

    (University of Munich, Department of Statistics)

  • Thomas Kneib

    (University of Göttingen, Chair of Statistics)

  • Stefan Lang

    (University of Innsbruck, Department of Statistics)

  • Brian Marx

    (Louisiana State University, Experimental Statistics)

Abstract

In Sect. 5.1 we considered binary regression models, that is, regression situations where the response is observed in two categories. In many applications, from social science to medicine, response variables often have more than two categories. For example, consumers may choose between different brands of a product or they may express their opinion about some product in ordered categories ranging from “very satisfied” to “not satisfied at all.” Similarly, voters choose between several parties or they assess the quality of candidates in ordered categories. In medicine, we may, for example, not only distinguish between “infection” and “no infection” but also between several types of infection, as in Example 6.1 below.

Suggested Citation

  • Ludwig Fahrmeir & Thomas Kneib & Stefan Lang & Brian Marx, 2013. "Categorical Regression Models," Springer Books, in: Regression, edition 127, chapter 6, pages 325-347, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-34333-9_6
    DOI: 10.1007/978-3-642-34333-9_6
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