Hodges-Lehmann optimality of tests
DOI10.1016/0167-7152(92)90207-LzbMath0755.62041OpenAlexW2048182354MaRDI QIDQ1198988
Wilbert C. M. Kallenberg, Stavros Kourouklis
Publication date: 16 January 1993
Published in: Statistics \& Probability Letters (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0167-7152(92)90207-l
goodness-of-fitBahadur efficiencylikelihood ratio testsoptimal testsCramér-von Mises testsKolmogorov-Smirnov testsKullback-Leibler information numberHodges-Lehmann efficiencyone-parameter exponential families
Asymptotic properties of nonparametric inference (62G20) Large deviations (60F10) Asymptotic properties of parametric tests (62F05)
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- A large deviation result for the likelihood ratio statistic in exponential families
- Asymptotic optimality of multivariate linear hypothesis tests
- Large deviation theorems for empirical probability measures
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- HODGES-LEHMANN EFFICACIES FOR LIKELIHOOD RATIO TYPE TESTS IN CURVED BIVARIATE NORMAL FAMILIES
- The Efficiency of Some Nonparametric Competitors of the $t$-Test
- On the Hodges–Lehmann Asymptotic Efficiency of Nonparametric Tests of Goodness of Fit and Homogeneity
- Mixed-scale models for survival/sacrifice experiments
- Non-Local Asymptotic Optimality of Appropriate Likelihood Ratio Tests
- Consistency and Asymptotic Normality of MLE's for Exponential Models
- On asymptotically optimal tests
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