| Abstract: | Summary Let {X
t
} be defined recursively byX
t
=θX
t−1+U
t
(t=1,2, ...), whereX
0=0 and {U
t
} is a sequence of independent identically distributed real random variables having a density functionf with mean 0 and varianceσ
2. We assume that |θ|<1. In the present paper we obtain the bound of the asymptotic distributions of asymptotically median
unbiased (AMU) estimators of θ and the sufficient condition that an AMU estimator be asymptotically efficient in the sense
that its distribution attains the above bound. It is also shown that the least squares estimator of θ is asymptotically efficient
if and only iff is a normal density function.
University of Electro-Communications |
