Testing for Equality between Two Copulas
Copyright policy )Testing for Equality between Two Copulas
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
- University of Geneva Switzerland
- Swiss Finance Institute Switzerland
- HEC Montréal Canada
- Swiss Finance Institute
Statistics and Probability, Cramér-von Mises statistic, Cramér–von Mises statistic, empirical process, primary, pseudo-observations, 330/650, Copula, Cram´er-von Mises statistic, empirical process, pseudo-observations, multiplier central limit theorem, p-value., Nonparametric hypothesis testing, Multiplier central limit theorem, Numerical Analysis, Pseudo-observations, Asymptotic distribution theory in statistics, multiplier central limit theorem, p-value, Central limit and other weak theorems, Monte Carlo methods, Empirical process, P-value, Copula, Pseudo- observations, copula, Statistics, Probability and Uncertainty, secondary, 332/658, Cram ́er-von Mises statistic, \(p\)-value, ddc: ddc:332/658, ddc: ddc:330/650, jel: jel:C12, jel: jel:C14, jel: jel:C15
Statistics and Probability, Cramér-von Mises statistic, Cramér–von Mises statistic, empirical process, primary, pseudo-observations, 330/650, Copula, Cram´er-von Mises statistic, empirical process, pseudo-observations, multiplier central limit theorem, p-value., Nonparametric hypothesis testing, Multiplier central limit theorem, Numerical Analysis, Pseudo-observations, Asymptotic distribution theory in statistics, multiplier central limit theorem, p-value, Central limit and other weak theorems, Monte Carlo methods, Empirical process, P-value, Copula, Pseudo- observations, copula, Statistics, Probability and Uncertainty, secondary, 332/658, Cram ́er-von Mises statistic, \(p\)-value, ddc: ddc:332/658, ddc: ddc:330/650, jel: jel:C12, jel: jel:C14, jel: jel:C15
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).144 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
Citations provided by BIP!Popularity provided by BIP!