Let

be a sequence of independent identically distributed observations with a common mean

. Assume that

with probability 1. We show that for each

there exists an integer

, a finite-valued statistic

and a real-valued function

defined on

such that

)

; ii)
![P[\\lim \\sup \\mid d(T_n) - \\mu \\mid \\leq \\varepsilon ] = 1](/images/tex/7733.gif)
. Thus we have a recursive-like estimate of

, for which the data are summarized for each

by one of

states and which converges to within

of

with probability 1. The constraint on memory here is time varying as contrasted to the time-invariant constraint that would have

for all

.