Detecting mortality deceleration: Likelihood inference and model selection in the gamma-Gompertz model
Marie Böhnstedt and
Jutta Gampe
Statistics & Probability Letters, 2019, vol. 150, issue C, 68-73
Abstract:
We study the asymptotic properties of the maximum likelihood estimator and the likelihood ratio test in the gamma-Gompertz model for local alternatives. We also show that the standard AIC is biased in this model due to the boundary parameter.
Keywords: Gamma-Gompertz model; Likelihood asymptotics; Boundary parameter; AIC; Local alternatives (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0167715219300653
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:150:y:2019:i:c:p:68-73
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
DOI: 10.1016/j.spl.2019.02.013
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 ().