Weak Convergence of Empirical Distribution Functions of Random Variables Subject to Perturbations and Scale Factors

The weak convergence of empirical distribution functions subject to random perturbations and scale factors to a Gaussian process is established. This result is used to study the efficiencies of tests based on spacings in goodness-of-fit problems.

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