Abstract
One determines a coarse asymptotic behavior of the probabilities of large deviations of statistics, based on the Martingale term of the empirical distribution function, its Bahadur efficiency, and a condition for the local asymptotic optimality in the case of the shift and the Lehmann alternatives.
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References
E. V. Khmaladze, "A Martingale approach in the theory of goodness-of-fit tests," Teor. Veroyatn. Primenen.,26, No. 2, 246–265 (1981).
S. Aki, "Some test statistics based on the Martingale terms of the empirical distribution function," Ann. Inst. Statist. Math.,38, No. 1, 1–21 (1986).
Ya. Yu. Nikitin, "Local asymptotic Bahadur optimality and characterization problems," Teor. Veroyatn. Primenen.,29, No. 1, 79–92 (1984).
R. R. Bahadur, Some Limit Theorems in Statistics, SIAM, Philadelphia (1971).
R. R. Bahadur, "On the asymptotic efficiency of tests and estimates," Sankhya,22, No. 3-4, 229–252 (1960).
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Translated from Zapiski Nauchnykh Seminarov Leningradskogo Otdeleniya Matematicheskogo Instituta im. V. A. Steklova Akademii Nauk SSSR, Vol. 184, pp. 227–233, 1990.
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Podkorytova, O.A. Large deviations and Bahadur efficiency of the Khmaladze-Aki statistic. J Math Sci 68, 560–565 (1994). https://doi.org/10.1007/BF01254282
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DOI: https://doi.org/10.1007/BF01254282