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Bahadur efficiency and probabilities of large deviations

Statistica Neerlandica, 1977
The relative performance of two statistical tests of a hypothesis for large sample sizes is often investigated by means of asymptotic relative efficiencies in the sense of Pitman or Bahadur. Pitman efficiencies are directed at local alternatives, Bahadur efficiencies at fixed (non‐local) alternatives.
Groeneboom, P., Oosterhoff, J.
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Large deviations and Bahadur efficiency of the Khmaladze-Aki statistic

Journal of Mathematical Sciences, 1994
See the review in Zbl 0757.62025.
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The Bahadur Efficiency of Tests of Some Joint Hypotheses

Journal of the American Statistical Association, 1988
Abstract This article examines the relative efficiency of finite induced and Wald-like (or “infinite induced”) tests of some commonly encountered joint hypotheses. One two-sided testing problem and two types of two-sided testing problems concerning two parameters and normally distributed estimates are considered. The exact slopes of six test statistics
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Bahadur Efficiency of Sensitivity Analyses in Observational Studies

Journal of the American Statistical Association, 2015
An observational study draws inferences about treatment effects when treatments are not randomly assigned, as they would be in a randomized experiment. The naive analysis of an observational study assumes that adjustments for measured covariates suffice to remove bias from nonrandom treatment assignment. A sensitivity analysis in an observational study
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Bahadur asymptotic efficiency of integral tests for symmetry

Journal of Soviet Mathematics, 1984
Translation from Zap. Nauchn. Semin. Leningr. Otd. Mat. Inst. Steklova 119, 181-194 (Russian) (1982; Zbl 0541.62032).
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Bahadur’s efficiency of a test of exponentiality based on the loss-of-memory property

Journal of Mathematical Sciences, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Assessing the relative efficiency of Hausman's test under Bahadur efficiency considerations

Economics Letters, 1986
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Bahadur Efficiency and Small-Sample Efficiency

International Statistical Review / Revue Internationale de Statistique, 1981
Groeneboom, P., Oosterhoff, J.
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Large Deviations and Bahadur Efficiency of Some Rank Tests of Independence

1987
Large deviations for a class of rank tests of bivariate independence against positive quadrant dependence are derived. The test statistics are closely related to a function-valued measure of dependence (so-called monotonic dependence function). Some efficiency comparisons of new tests to Spearman’s rho are given under bivariate dependence models ...
Piotr Bajorski, Teresa Ledwina
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Bahadur effectiveness of Watson-Darling goodness-of-fit tests

Journal of Soviet Mathematics, 1988
The rough asymptotic behavior of the probability of large deviations is found for Watson-Darling goodness-of-fit tests, which are “centered” versions of Kolomogorov-Smirnov statistics. Their Bahadur effectiveness is calculated and conditions for local asymptotic optimality for the alternative of translation are studied.
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