A central limit theorem is established for the sum of stochastically depend
ent generalized linear and quadratic forms which is often seen in statistic
al applications. It is shown that a mild correlation type condition is suff
icient to ensure that Liapounoff type conditions on the linear and quadrati
c forms individually will imply asymptotic normality of their sum.