  Limit theorems for a random number of independent random variables are
frequently called transfer theorems. Investigations into this direction for
sums of random variables with independent random sample size have been
originated by Gnedenko. We present a widely applicable transfer theorem for
random variables on a general metric space with random multiparameters instead
of random sample sizes. This summarizes an intrinsic principle behind the
transfer type results known from the literature.
