Categorical Regression Models
Ludwig Fahrmeir (),
Thomas Kneib (),
Stefan Lang () and
Brian D. Marx ()
Additional contact information
Ludwig Fahrmeir: LMU Munich, Institute of Statistics
Thomas Kneib: University of Göttingen, Statistics and Econometrics
Stefan Lang: University of Innsbruck, Department of Statistics
Brian D. Marx: Louisiana State University
Chapter Chapter 6 in Regression, 2021, pp 343-366 from Springer
Abstract:
Abstract In Sect. 5.1, we considered binary regression models, that is, regression situations where the response is observed in two categories. However, in many applications 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.
Date: 2021
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-662-63882-8_6
Ordering information: This item can be ordered from
http://www.springer.com/9783662638828
DOI: 10.1007/978-3-662-63882-8_6
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().