Assessing influence on the goodness-of-link in generalized linear models
Andy H. Lee and
Yuejen Zhao
Statistics & Probability Letters, 1997, vol. 31, issue 4, 351-358
Abstract:
The evidence for a hypothesized link function in a generalized linear model may depend crucially on one or a few observations. Global and local influence diagnostics are proposed to assess influence on the goodness-of-link test. It is found that the local influence method can reveal influential observations on the link even when masking is present.
Keywords: Goodness-of-link; test; Local; influence; Masking; Partial; influence (search for similar items in EconPapers)
Date: 1997
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167-7152(96)00049-1
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:31:y:1997:i:4:p:351-358
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 ().