Back to Search Start Over

On qualitative robustness of the Lotka–Nagaev estimator for the offspring mean of a supercritical Galton–Watson process.

Authors :
Schuhmacher, Dominic
Sturm, Anja
Zähle, Henryk
Source :
Journal of Statistical Planning & Inference. Feb2016, Vol. 169, p56-70. 15p.
Publication Year :
2016

Abstract

We characterize the sets of offspring laws on which the Lotka–Nagaev estimator for the mean of a supercritical Galton–Watson process is qualitatively robust. These are exactly the locally uniformly integrating sets of offspring laws, which may be quite large. If the corresponding global property is assumed instead, we obtain uniform robustness as well. We illustrate both results with a number of concrete examples. As a by-product of the proof we obtain that the Lotka–Nagaev estimator is [locally] uniformly weakly consistent on the respective sets of offspring laws, conditionally on non-extinction. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03783758
Volume :
169
Database :
Academic Search Index
Journal :
Journal of Statistical Planning & Inference
Publication Type :
Academic Journal
Accession number :
110408229
Full Text :
https://doi.org/10.1016/j.jspi.2015.08.003