Statistical inference of 2-type critical Galton–Watson processes with immigration
Kristóf Körmendi () and
Gyula Pap ()
Additional contact information
Kristóf Körmendi: University of Szeged
Gyula Pap: University of Szeged
Statistical Inference for Stochastic Processes, 2018, vol. 21, issue 1, No 7, 169-190
Abstract:
Abstract In this paper the asymptotic behavior of the conditional least squares estimators of the offspring mean matrix for a 2-type critical positively regular Galton–Watson branching process with immigration is described. We also study this question for a natural estimator of the spectral radius of the offspring mean matrix, which we call criticality parameter. We discuss the subcritical case as well.
Keywords: Galton–Watson process; Multi-type branching process; Conditional least squares estimator; Offspring mean matrix; 60J80; 62F12 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s11203-016-9148-y Abstract (text/html)
Access to the full text of the articles in this series is restricted.
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:spr:sistpr:v:21:y:2018:i:1:d:10.1007_s11203-016-9148-y
Ordering information: This journal article can be ordered from
http://www.springer. ... ty/journal/11203/PS2
DOI: 10.1007/s11203-016-9148-y
Access Statistics for this article
Statistical Inference for Stochastic Processes is currently edited by Denis Bosq, Yury A. Kutoyants and Marc Hallin
More articles in Statistical Inference for Stochastic Processes from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().