Large sample estimation in nonstationary autoregressive processes with multiple observations
The asymptotic distributions of the least-squares estimators of the parameters in autoregressive processes with multiple observations are derived for the two nonstationary cases, viz., (a) the explosive case and (b) the unstable case. It is shown that nonstandard limit distributions are obtained.
Year of publication: |
1994
|
---|---|
Authors: | Sethuraman, S. ; Basawa, I. V. |
Published in: |
Stochastic Processes and their Applications. - Elsevier, ISSN 0304-4149. - Vol. 54.1994, 2, p. 331-354
|
Publisher: |
Elsevier |
Keywords: | Autoregression Nonstationary processes Explosive process Unstable process Intraclass correlation Least-squares estimation Asymptotic distributions Nonergodic models |
Saved in:
Saved in favorites
Similar items by person
-
Sethuraman, S., (1997)
-
On the asymptotics of discrete order statistics
Athreya, J. S., (2001)
-
Nonequilibrium fluctuations for a tagged particle in mean-zero one-dimensional zero-range processes
Jara, M. D., (2009)
- More ...