Sampling a branching tree
Ellen Maki and
Philip McDunnough
Stochastic Processes and their Applications, 1989, vol. 31, issue 2, 283-305
Abstract:
A Galton-Watson branching tree is sampled, yielding a derived vector process of family sizes. Exact and asymptotic distributions for this process are derived, rates of convergence given, and the probability of selecting different families is shown to converge rapidly to one. Consistent, asymptotically normal nonparametric estimates of the underlying offspring distribution are obtained and for power series distributions approximate MLE's are shown to be asymptotically normal and efficient.
Keywords: branching; process; sampling; inference; in; stochastic; processes; likelihood; inference; asymptotic; theory (search for similar items in EconPapers)
Date: 1989
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0304-4149(89)90093-8
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:spapps:v:31:y:1989:i:2:p:283-305
Ordering information: This journal article can be ordered from
http://http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
Access Statistics for this article
Stochastic Processes and their Applications is currently edited by T. Mikosch
More articles in Stochastic Processes and their Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().