Abstract
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.
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