A robust partial correlation measure
DOI10.1080/10485259508832630zbMath0873.62057OpenAlexW2072930032MaRDI QIDQ4345882
Sudhakar H. Rao, Gerald L. Sievers
Publication date: 28 July 1997
Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/10485259508832630
consistencyasymptotic distributionsKendall's tauresidualsrobustness to outliershypothesis of conditional independencePearson's partial correlation coefficientrank estimates of regression parametersrobust, efficient measure of partial associationweighted Gini's mean difference
Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Nonparametric robustness (62G35) Measures of association (correlation, canonical correlation, etc.) (62H20)
Cites Work
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- A weighted dispersion function for estimation in linear models
- The performance of some correlation coefficients for a general bivariate distribution
- Tests of hypotheses based on ranks in the general linear model
- Tests of partial correlation in a linear model
- A Measure Of Association Based On Gin's Mean Difference
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