A necessary condition for positive dependence
DOI10.1080/02331888708802028zbMath0633.62047OpenAlexW2038380491MaRDI QIDQ3771416
Publication date: 1987
Published in: Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02331888708802028
gamma distributionsbivariate absolutely continuous distributionseigenfunctions of integral equationsFairlie-distributionsfinite mean-square-contingencylocally most powerful rank tests for independencenecessary condition for positive dependencestrictly increasing transformations of the margins
Characterization and structure theory for multivariate probability distributions; copulas (62H05) Probability distributions: general theory (60E05)
Related Items (2)
Cites Work
- Families of positively dependent random variables
- The Structure of Bivariate Distributions
- Bivariate Exponential Distributions
- The performance of some correlation coefficients for a general bivariate distribution
- Scaling of Order Dependent Categorical Variables with Correspondence Analysis
- Some Concepts of Dependence
- The Canonical Correlation Coefficients of Bivariate Gamma Distributions
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