Abstract
A common problem in statistics is that of estimating parameters of some assumed relationship between one or more variables. One such relationship is where y is the dependent (endogenous, explained) variable and a1 … a n ) are the independent (exogenous, explanatory) variables. Regression analysis estimates the form of the relationship (1.1) by using the observed values of the variables. This attempt at describing how these variables are related to each other is known as model building.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer Science+Business Media New York
About this chapter
Cite this chapter
Kontoghiorghes, E.J. (2000). Linear Models and QR Decomposition. In: Parallel Algorithms for Linear Models. Advances in Computational Economics, vol 15. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-4571-2_1
Download citation
DOI: https://doi.org/10.1007/978-1-4615-4571-2_1
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-7064-2
Online ISBN: 978-1-4615-4571-2
eBook Packages: Springer Book Archive