  Explicit formulas for the mean and variance of linear stochastic differential
equations are derived in terms of an exponential matrix. This result improved a
previous one by means of which the mean and variance are expressed in terms of
a linear combination of higher dimensional exponential matrices. The important
role of the new formulas for the system identification as well as numerical
algorithms for their practical implementation are pointed out.
