Recent results in ridge regression methods
M. Alkhamisi () and
I. MacNeill ()
METRON, 2015, vol. 73, issue 3, 359-376
Abstract:
Necessary and sufficient conditions for superiority of the restricted ridge estimator over the restricted least squares estimator are derived when the set of a prior restrictions on parameters are assumed to be incorrect (as well as when the restrictions are assumed to hold). Condition number and trace of mean square error criteria are used to gauge the goodness of some new and some known ridge parameters in rectifying the collinearity problem in three well known real life data sets and a Monte Carlo simulation. Tables 1, 2, 3, 4 and 5 reveal the superiority of the newly formed ridge parameters over some known ridge parameters by means of the foregoing criteria. Copyright Sapienza Università di Roma 2015
Keywords: Change point; Collinearity; Condition number; Eigenvalues; Restricted ridge estimator; Ridge estimator; TMSE; Primary 62J07; 62J05; Secondary 15A12; 15A18 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://hdl.handle.net/10.1007/s40300-015-0065-4 (text/html)
Access to full text is restricted to subscribers.
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:metron:v:73:y:2015:i:3:p:359-376
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/40300
DOI: 10.1007/s40300-015-0065-4
Access Statistics for this article
METRON is currently edited by Marco Alfo'
More articles in METRON from Springer, Sapienza Università di Roma
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().