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Some test statistics based on the martingale term of the empirical distribution function
Authors:Sigeo Aki
Abstract: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. The Institute of Statistical Mathematics
Keywords:Bahadur efficiency  counting process  Cramér-von Mises statistic  empirical distribution  goodness-of-fit test  weak convergence  Wiener process
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