The local asymptotic normality of a class of generalized random coefficient autoregressive processes
The local asymptotic normality for a class of generalized random coefficient autoregressive processes is established. This property implies the asymptotic optimality of the maximum likelihood estimator and the related test statistics. The model includes standard random coefficient autoregressive processes, Markovian bilinear models, and random coefficient exponential autoregressive processes as special cases.
Year of publication: |
1997
|
---|---|
Authors: | Hwang, S. Y. ; Basawa, I. V. |
Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 34.1997, 2, p. 165-170
|
Publisher: |
Elsevier |
Subject: | Nonlinear time series Asymptotic inference | Random coefficient models Local asymptotic normality |
Saved in:
Saved in favorites
Similar items by person
-
Inference for a binary lattice Markov process
Hwang, S. Y., (1999)
-
Explosive Random-Coefficient AR(1) Processes and Related Asymptotics for Least-Squares Estimation
Hwang, S. Y., (2005)
-
Stationarity and moment structure for Box-Cox transformed threshold GARCH(1,1) processes
Hwang, S. Y., (2004)
- More ...