  We describe estimators $\chi_n(X_0,X_1,...,X_n)$, which when applied to an
unknown stationary process taking values from a countable alphabet ${\cal X}$,
converge almost surely to $k$ in case the process is a $k$-th order Markov
chain and to infinity otherwise.
