Independence of partial autocorrelations for a classical immigration branching process
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.
Year of publication: |
1991
|
---|---|
Authors: | Mills, T. M. ; Seneta, E. |
Published in: |
Stochastic Processes and their Applications. - Elsevier, ISSN 0304-4149. - Vol. 37.1991, 2, p. 275-279
|
Publisher: |
Elsevier |
Keywords: | autoregression sample partial autocorrelation Quenouille's test subcritical Galton-Watson residual autocorrelation |
Saved in:
Saved in favorites
Similar items by person
-
Goodness-of-fit for a branching process with immigration using sample partial autocorrelations
Mills, T. M., (1989)
-
Markov and the birth of chain dependence theory
Seneta, Eugene, (1996)
-
Iterative aggregation : convergence rate
Seneta, E., (1984)
- More ...