Aspects of Negative Dependence Structures
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Publication:4921648
DOI10.1080/03610926.2011.588362zbMath1269.60020OpenAlexW2096992532MaRDI QIDQ4921648
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Publication date: 13 May 2013
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2011.588362
negative associationnegative orthant dependencelinear negative dependencenegative superadditive dependencestrong negative orthant dependence
Inequalities; stochastic orderings (60E15) Measures of association (correlation, canonical correlation, etc.) (62H20) Characterization and structure theory of statistical distributions (62E10)
Related Items (2)
Cites Work
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- Dependence structures of multivariate Bernoulli random vectors
- Independence via uncorrelatedness under certain dependence structures
- Stochastic orders
- Dependence structures in which uncorrelatedness implies independence
- A multivariate extension of Hoeffding's lemma
- Weak association of random variables
- Positively correlated normal variables are associated
- A connection between supermodular ordering and positive/negative association.
- Further developments on sufficient conditions for negative dependence of random variables.
- Some remarks on the supermodular order
- How to transform correlated random variables into uncorrelated ones
- Setwise independence for some dependence structures
- Negative association of random variables, with applications
- Some counterexamples in positive dependence
- Some Concepts of Dependence
- Association of Random Variables, with Applications
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