Abstract AbstractDer vorliegende Band beschäftigt sich mit dem Verschränkungsverhältnis von (Alltags-)Interaktionen auf der einen und traditionellem, massenmedial geprägtem Fernsehen auf der anderen Seite. Alltägliche bzw. alltagsanaloge Interaktionen machen einen großen Teil des heutigen...

A multivariate measure of association is proposed, which extends the bivariate copula-based measure Phi-Square introduced by Hoeffding [22]. We discuss its analytical properties and calculate its explicit value for some copulas of simple form; a simulation procedure to approximate its value is...

Spearman's rank-correlation coefficient (also called Spearman's rho) represents one of the best-known measures to quantify the degree of dependence between two random variables. As a copula-based dependence measure, it is invariant with respect to the distribution's univariate marginal...

A general, copula-based framework for measuring the dependence among financial time series is presented. Particular emphasis is placed on multivariate conditional Spearman's rho (MCS), a new measure of multivariate conditional dependence that describes the association between large or extreme...

A new family of conditional-dependence measures based on Spearman's rho is introduced. The corresponding multidimensional versions are established. Asymptotic distributional results are derived for related estimators which are based on the empirical copula. Particular emphasis is placed on a new...

Power of modifications of the Kolmogorov, Cramer-von Mises, Watson and Anderson-Darling tests for testing uniformity when limits are unknown is compared. Power is computed by Monte Carlo simulation within one-parameter families of alternative distributions containing the uniform distribution as...

The lower tail dependence λL is a measure that characterizes the tendency of extreme co-movements in the lower tails of a bivariate distribution. It is invariant with respect to strictly increasing transformations of the marginal distribution and is therefore a function of the copula of the...

An L1-variant of the Cramer-von Mises test statistic for the one sample test of fit problem is presented. Quantiles of the sampling distribution under the null hypothesis are derived by Monte-Carlo Simulation. The power of the new test is compared to those of other, conventional one sample...