Variance Estimators in Critical Branching Processes With Non-Homogeneous Immigration
Document Type
Article
Source of Publication
Mathematical Population Studies
Publication Date
10-1-2012
Abstract
The asymptotic normality of conditional least squares estimators for the offspring variance in critical branching processes with nonhomogeneous immigration is established, under moment assumptions on both reproduction and immigration. The proofs use martingale techniques and weak convergence results in Skorokhod spaces. © 2012 Copyright Taylor and Francis Group, LLC.
DOI Link
ISSN
Publisher
Informa UK Limited
Volume
19
Issue
4
First Page
188
Last Page
199
Disciplines
Life Sciences
Keywords
branching processes, immigration, least squares estimators, offspring variance, Skorokhod space
Scopus ID
Recommended Citation
Rahimov, Ibrahim and Yanev, George P., "Variance Estimators in Critical Branching Processes With Non-Homogeneous Immigration" (2012). All Works. 3895.
https://zuscholars.zu.ac.ae/works/3895
Indexed in Scopus
yes
Open Access
yes
Open Access Type
Green: A manuscript of this publication is openly available in a repository