Multivariate generalizations of jonckheere's test for ordered alternatives
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Publication:3473200
DOI10.1080/03610928908830122zbMath0696.62210OpenAlexW2154450522MaRDI QIDQ3473200
Publication date: 1989
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610928908830122
Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Hypothesis testing in multivariate analysis (62H15)
Related Items (13)
Testing against ordered alternatives for multivariate censored survival data ⋮ Multivariate generalisations ofk-sample rank tests for umbrella alternatives ⋮ A general testing for order restriction on mean vectors of multivariate normal populations ⋮ Assessing multiple endpoints with ordered alternatives ⋮ Nonparametric Bayes Testing of Changes in a Response Distribution with an Ordinal Predictor ⋮ Nonparametric directional testing for multivariate problems in conjunction with a closed testing principle ⋮ Bootstrap approach to test the homogeneity of order restricted mean vectors when the covariance matrices are unknown ⋮ Conditional inference under simultaneous stochastic ordering constraints ⋮ Parametric and permutation testing for multivariate monotonic alternatives ⋮ A rank test for equality of two multivariate populations vs a particular ordered alternative. ⋮ Exact inference for multivariate ordered alternatives ⋮ Saddlepoint \(p\)-values for two-sample bivariate tests ⋮ A rank-based test for monotone trends in k-sample multivariate problems
Cites Work
- Two-Sample Asymptotically Distribution-Free Tests for Incomplete Multivariate Observations
- Some distribution‐free K‐sample rank tests of homogeneity against ordered alternatives
- On Some Asymptotically Nonparametric Competitors of Hotelling's $T^{2 1}$
- Asymptotic Efficiency of Certain Rank Tests for Comparative Experiments
- Robust Estimation in Analysis of Variance
- On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other
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