Summary
It is proved that the martingale term of the empirical distribution function converges weakly to a Gaussian process inD[0, 1]. Some statistics for goodness-of-fit tests based on the martingale term of the empirical distribution function are proposed. Asymptotic distributions of these statistics under the null hypothesis are given. The approximate Bahadur efficiencies of the statistics to the Kolmogorov-Smirnov statistic and to the Cramér-von Mises statistic are also calculated.
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Aki, S. Some test statistics based on the martingale term of the empirical distribution function. Ann Inst Stat Math 38, 1–21 (1986). https://doi.org/10.1007/BF02482496
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DOI: https://doi.org/10.1007/BF02482496