Independence of partial autocorrelations for a classical immigration branching process
T. M. Mills and
E. Seneta
Stochastic Processes and their Applications, 1991, vol. 37, issue 2, 275-279
Abstract:
It is shown that for a data set from a branching process with immigration, where the offspring distribution is Bernoulli and the immigration distribution is Poisson, the normed sample partial autocorrelations are asymptotically independent. This makes possible a goodness-of-fit test of known (Quenouille) form. The underlying process is a classical model in statistical mechanics.
Keywords: autoregression; sample; partial; autocorrelation; Quenouille's; test; subcritical; Galton-Watson; residual; autocorrelation (search for similar items in EconPapers)
Date: 1991
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0304-4149(91)90047-G
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:37:y:1991:i:2:p:275-279
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 ().