Pages that link to "Item:Q1603896"
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The following pages link to Computing the nonnull asymptotic variance and the asymptotic relative efficiency of Spearman's rank correlation (Q1603896):
Displaying 16 items.
- Correlation between graphs with an application to brain network analysis (Q126082) (← links)
- Influence functions of the Spearman and Kendall correlation measures (Q257584) (← links)
- Comparison of three semiparametric methods for estimating dependence parameters in copula models (Q661208) (← links)
- Multivariate extensions of Spearman's rho and related statistics (Q876985) (← links)
- Linear rank tests for independence in bivariate distributions-power comparisons by simulation (Q956968) (← links)
- Asymptotic efficiency of the Spearman estimator and characterizations of distributions (Q1093276) (← links)
- A new nonparametric method for variance estimation and confidence interval construction for Spearman's rank correlation. (Q1583071) (← links)
- Detection of block-exchangeable structure in large-scale correlation matrices (Q1755136) (← links)
- Spearman rank correlation of the bivariate Student \(t\) and scale mixtures of normal distributions (Q2196135) (← links)
- Asymptotic convergence in distribution for spearman's rank correlation coefficient (Q3471336) (← links)
- Tests of Multivariate Independence for Ordinal Data (Q3652684) (← links)
- Population models and simulation methods: The case of the Spearman rank correlation (Q4603617) (← links)
- Who discovered Spearman's rank correlation? (Q4715683) (← links)
- Degree-Degree Dependencies in Random Graphs with Heavy-Tailed Degrees (Q4985358) (← links)
- Myths About Linear and Monotonic Associations: Pearson’s <i>r</i>, Spearman’s <i>ρ</i>, and Kendall’s <i>τ</i> (Q5050796) (← links)
- Testing independence based on Bernstein empirical copula and copula density (Q5266568) (← links)
