Rank Cancellation Rule
Simo Puntanen (),
George P. H. Styan () and
Jarkko Isotalo ()
Additional contact information
Simo Puntanen: University of Tampere, School of Information Sciences
George P. H. Styan: McGill University, Department of Mathematics & Statistics
Jarkko Isotalo: University of Tampere, School of Information Sciences
Chapter Chapter 6 in Matrix Tricks for Linear Statistical Models, 2011, pp 145-150 from Springer
Abstract:
Abstract If $$ a \in \mathbb{R}$$ and $$ y \in \mathbb{R}$$ have property $$ ay \neq 0,$$ then trivially 6.1 $$lay = may \Longrightarrow la = ma,$$ that is, we can cancel y from (6.1) (as well as a). For matrices, the corresponding cancellation does not work. However, there is a very handy trick, the rank cancellation rule, which allows cancellations for matrices in the style of (6.1). It seems, according to our experience, that this simple rule has not received so much appreciation in statistical literature as it earns.
Date: 2011
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:978-3-642-10473-2_7
Ordering information: This item can be ordered from
http://www.springer.com/9783642104732
DOI: 10.1007/978-3-642-10473-2_7
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 ().