Asymptotic tail approximations for some nonparametric test statistics
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Publication:4987550
DOI10.1080/10485252.2020.1797022zbMath1466.62311OpenAlexW3044935647MaRDI QIDQ4987550
Publication date: 3 May 2021
Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/10485252.2020.1797022
saddlepoint approximationEdgeworth expansionWilcoxon signed-rank statisticLugannani and Rice approximationKendall`s tau coefficient
Nonparametric hypothesis testing (62G10) Statistics of extreme values; tail inference (62G32) Large deviations (60F10)
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Cites Work
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- Strong large deviation and local limit theorems
- On approximating probabilities for small and large deviations in \(R^{d1}\)
- Series approximation methods in statistics
- Strong large deviations for arbitrary sequences of random variables
- The Probability in the Extreme Tail of a Convolution
- Saddlepoint Approximations with Applications
- Asymptotic approximations to the distribution of Kendall's sample τ
- Saddle point approximation for the distribution of the sum of independent random variables
- Tail Probability Approximations
- The normal, Edgeworth, saddlepoint and uniform approximations to the Wilcoxon–Mann–Whitney null-distribution: a numerical comparison
- PROBABILITY APPROXIMATIONS FOR DIVISIBLE DISCRETE DISTRIBUTIONS
- Alternative Efficiencies for Signed Rank Tests
- On the Probability of Large Deviations and Exact Slopes
- An Approximation for the Exact Distribution of the Wilcoxon Test for Symmetry
- A NEW MEASURE OF RANK CORRELATION
- SOME QUESTIONS OF DISTRIBUTION IN THE THEORY OF RANK CORRELATION
- Saddlepoint Approximations in Statistics
- The bootstrap and Edgeworth expansion
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