The Classical Linear Model

Ludwig Fahrmeir, Thomas Kneib, Stefan Lang and Brian Marx
Additional contact information
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

Chapter 3 in Regression, 2013, pp 73-175 from Springer

Abstract: Abstract The following two chapters will focus on the theory and application of linear regression models, which play a major role in statistics. We already studied some examples in Sect. 2.2 . In addition to the direct application of linear regression models, they are also the basis of a variety of more complex regression methods.

Keywords: Linear Regression Model; Reference Category; Average Location; Good Location; Estimate Regression Coefficient (search for similar items in EconPapers)
Date: 2013
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:978-3-642-34333-9_3

Ordering information: This item can be ordered from
http://www.springer.com/9783642343339

DOI: 10.1007/978-3-642-34333-9_3

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 ().