On asymptotic distribution of successive approximations of the Fabian-modified Robbins — Monro algorithm in the multiroot case

A process is described whereby the Fabian modification of the Robbins — Monro algorithm successively approaches an isolated stable root of the regression function. A conditional limit distribution is determined of normalized deflections of the successive approximations from this root provided that the process converges to it.