The Linear Regression Model
Helge Toutenburg
Additional contact information
Helge Toutenburg: University of Munich, Institute of Statistics
Chapter 3 in Experimental Design and Model Choice, 1995, pp 45-93 from Springer
Abstract:
Abstract The main focus in this chapter will be the linear regression model and its basic principle of estimation. We introduce the fundamental method of Least Squares by looking at the least squares geometry and discuss some of its algebraic properties.
Keywords: Ordinary Little Square; Linear Regression Model; Normal Equation; Unbiased Estimator; Ordinary Little Square (search for similar items in EconPapers)
Date: 1995
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:978-3-642-52498-1_3
Ordering information: This item can be ordered from
http://www.springer.com/9783642524981
DOI: 10.1007/978-3-642-52498-1_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 ().