Model selection in orthogonal regression
Allan McQuarrie and
Chih-Ling Tsai
Statistics & Probability Letters, 1999, vol. 45, issue 4, 341-349
Abstract:
We develop the relationship between the stepwise F-test model selection criteria and information-based criteria for orthogonal regression models. We obtain the asymptotic properties of the stepwise F-tests with respect to efficiency and consistency. The performances of F-test as well as other efficient and consistent criteria are compared via a large scale simulation study. The results indicate that three of the F-test criteria should be considered for routine data analysis.
Keywords: AIC; Asymptotic; property; Consistency; Efficiency; F-test; SIC (search for similar items in EconPapers)
Date: 1999
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(99)00076-0
Full text for ScienceDirect subscribers only
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:eee:stapro:v:45:y:1999:i:4:p:341-349
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
Access Statistics for this article
Statistics & Probability Letters is currently edited by Somnath Datta and Hira L. Koul
More articles in Statistics & Probability Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().