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Bivariate Correlation: Pearson Product–Moment and Spearman Rho Correlations
Overview Correlation in statistical terms is a way to assess the degree of relationship or association that is observed between variables. Bivariate correlation focuses on the relationship between two ( bi -) variables (- variate ). Behavioral and social research almost always is concerned about the relationship of two or more variables, and so ...
Lawrence S. Meyers +2 more
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Spearmans rho als punktbiserialer Rangkorrelationskoeffizient
Heino F. L. Meyer‐Bahlburg
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Jackknife Empirical Likelihood Intervals for Spearman’s Rho
North American Actuarial Journal, 2011Abstract In connection with copulas, rank correlation such as Kendall’s tau and Spearman’s rho has been employed in risk management for summarizing dependence between two variables and estimating parameters in bivariate copulas and elliptical models. In this paper a jackknife empirical likelihood method is proposed to construct confidence intervals for
Ruodu Wang, Liang Peng
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‘SPEARMAN'S RHO’ AND THE MATCHING PROBLEM
British Journal of Statistical Psychology, 1956Abstract. The following paper describes a possible model, based on a distortion of the random sequence, which may be used as a hypothesis alternative to the hypothesis of randomness. The model is applied to the case of “Spearman;s rho” but may be adopted as an alternative to the random sequence for any bivariate
D. E. BARTON, F. N. DAVID
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Multivariate extensions of Spearman's rho and related statistics
Statistics & Probability Letters, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Schmid, Friedrich, Schmidt, Rafael
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Jackknife Euclidean Likelihood-Based Inference for Spearman's Rho
North American Actuarial Journal, 2012Abstract We discuss jackknife Euclidean likelihood-based inference methods, with a special focus on the construction of confidence intervals for Spearman's rho. We show that a Wilks's theorem holds for jackknife Euclidean likelihood, and based on it we construct confidence intervals for Spearman's rho.
Miguel de Carvalho, Filipe J. Marques
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