title: Asymptotic normality for the K/sub phi /-divergence goodness-of-fit tests
abstract: In this paper for a wide class of goodness-of-fit statistics based K/sub phi /-divergences, the asymptotic normality is established under the assumption n/m/sub n/ to a in (0, infinity ), where n denotes sample size and m/sub n/ the number of cells. This result is extended to contiguous alternatives to study asymptotic efficiency
keyphrases: asymptotic normality K/sub phi /-divergence goodness-of-fit tests asymptotic efficiency