Quantile estimation under possibly misspecified generalised linear model
M. Séménou
Statistics & Probability Letters, 1996, vol. 27, issue 4, 357-365
Abstract:
The following paper deals with the asymptotic behaviour of the maximum likelihood estimator in a misspecified generalised linear model. Of particularly interest is the estimation of a quantile in dose-response curves. Using asymptotic properties of the maximum likelihood estimator under misspecification of the model, these results are applied to quantile estimation for dose-response curves. Consistency and asymptotic normality are established.
Keywords: Generalised; linear; model; Maximum; likelihood; estimator; Dose-response; curves; Quantile; estimation (search for similar items in EconPapers)
Date: 1996
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/0167-7152(95)00100-X
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:27:y:1996:i:4:p:357-365
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 ().