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A Non-Parametric Test of Independence
Open accessAbstract
A test is proposed for the independence of two random variables with continuous distribution function (d.f.). The test is consistent with respect to the class $\Omega''$ of d.f.'s with continuous joint and marginal probability densities (p.d.). The test statistic $D$ depends only on the rank order of the observations. The mean and variance of $D$ are given and $\sqrt n(D - ED)$ is shown to have a normal limiting distribution for any parent distribution. In the case of independence this limiting distribution is degenerate, and $nD$ has a non-normal limiting distribution whose characteristic function and cumulants are given. The exact distribution of $D$ in the case of independence for samples of size $n = 5, 6, 7$ is tabulated. In the Appendix it is shown that there do not exist tests of independence based on ranks which are unbiased on any significance level with respect to the class $\Omega''$. It is also shown that if the parent distribution belongs to $\Omega''$ and for some $n \geq 5$ the probabilities of the $n!$ rank permutations are equal, the random variables are independent.
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Cited by
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Metadata
- Authors
- Hoeffding, W.
- Venue
- The Annals of Mathematical Statistics
- Publisher
- Institute of Mathematical Statistics
- Published
- 1948-12
- Volume
- 19
- Issue
- 4
- Pages
- 546-557
- ISSN
- 0003-4851 (ISSN-L)
- OpenAlex
- W2005388202
- Cited by
- 627
- References
- 0
- FWCI
- 8.10
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Hoeffding, W. (1948). A Non-Parametric Test of Independence. The Annals of Mathematical Statistics. https://doi.org/10.1214/aoms/1177730150
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