General bootstrap for dual phi-divergences estimates

A general notion of bootstrapped $\phi$-divergences estimates constructed by exchangeably weighting sample is introduced. Asymptotic properties of these generalized bootstrapped phi-divergences estimates are obtained by using the empirical process theory. Some of practical problems are discussed. Simulation results are used to illustrate the finite sample performance of the proposed estimators