One‐two dependence and probability inequalities between one‐ and two‐sided union‐intersection tests
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Publication:6068474
DOI10.1002/bimj.202000207zbMath1523.62115OpenAlexW3149779844MaRDI QIDQ6068474
Publication date: 15 December 2023
Published in: Biometrical Journal (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/bimj.202000207
goodness of fit testspositive associationmultiple hypotheses testingdirectional errorsone-two inequality
Cites Work
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- Goodness of fit tests in terms of local levels with special emphasis on higher criticism tests
- Multivariate stochastic orders induced by case-control sampling
- M-matrices as covariance matrices of multinormal distributions
- Independence via uncorrelatedness under certain dependence structures
- A concept of negative dependence using stochastic ordering
- Multiple testing of pairs of one-sided hypotheses
- An invariance principle for weakly associated random vectors
- Association of probability measures on partially ordered spaces
- Simultaneous statistical inference. 2nd ed
- Classes of orderings of measures and related correlation inequalities. I. Multivariate totally positive distributions
- Classes of orderings of measures and related correlation inequalities. II. Multivariate reverse rule distributions
- Positively correlated normal variables are associated
- Control of directional errors with stagewise multiple test procedures
- A general theory of some positive dependence notions
- The multivariate normal distribution
- Correlation inequalities on some partially ordered sets
- The asymptotic distribution of the supremum of the standardized empirical distribution function on subintervals
- The asymptotic distribution of the suprema of the standardized empirical processes
- Association and probability inequalities
- Stochastic ordering and dependence in applied probability
- Association of multivariate phase-type distributions, with applications to shock models.
- FKG inequality for Brownian motion and stochastic differential equations
- Optimal risk allocation in reinsurance networks
- Stepwise multiple test procedures and control of directional errors
- The asymptotic distribution of weighted empirical distribution functions
- Negative association of random variables, with applications
- The control of the false discovery rate in multiple testing under dependency.
- Some counterexamples in positive dependence
- The multivariate-\(t\) distribution and the Simes inequality
- Two-sample Kolmogorov-Smirnov-type tests revisited: old and new tests in terms of local levels
- Goodness-of-fit tests via phi-divergences
- Some notions of multivariate positive dependence
- Calculation of noncrossing probabilities for Poisson processes and its corollaries
- Functional Co-monotony of Processes with Applications to Peacocks and Barrier Options
- The intermediates take it all: Asymptotics of higher criticism statistics and a powerful alternative based on equal local levels
- Asymptotics of goodness-of-fit tests based on minimum p-value statistics
- A Note on the Relations Between Some Concepts of Positive Dependence
- Asymptotics for Associated Random Variables
- The Supremum and Infimum of the Poisson Process
- Concepts of Setwise Dependence
- REGRESSION DEPENDENCE IN LATENT VARIABLE MODELS
- Goodness-of-fit test statistics that dominate the Kolmogorov statistics
- An improved Bonferroni procedure for multiple tests of significance
- Some remarks on associated random fields, random measures and point processes
- Some Concepts of Dependence
- An Inequality Concerning Tests of Fit of the Kolmogorov-Smirnov Type
- Association of Random Variables, with Applications
- On Probabilities of Rectangles in Multivariate Student Distributions: Their Dependence on Correlations
- On Dependent Tests of Significance in the Analysis of Variance
- On Certain Confidence Contours for Distribution Functions
