Refine
Year of publication
Institute
Has Fulltext
- no (21)
Document Type
- Article (18)
- Conference Proceeding (1)
- Doctoral Thesis (1)
- Habilitation (1)
Keywords
- Paired sample (3)
- Empirical process (2)
- Goodness-of-fit test (2)
- Incomplete data (2)
- Independence test (2)
- Parametric bootstrap (2)
- likelihood ratio test (2)
- not identically distributed (2)
- Asymptotic relative efficiency (1)
- Bahadur efficiency (1)
- Bootstrap (1)
- Bootstrapping (1)
- Brownian Pillow (1)
- Categorial variable (1)
- Collective risk model (1)
- Concomitant (1)
- Coverage probability (1)
- Cramér-von-Mises statistic (1)
- Cramér-von-Mises test (1)
- Crámer–von-Mises distance (1)
- Effizienz (1)
- Equivalence test (1)
- Functional Delta Method (1)
- Gamma distribution (1)
- Goodness-of-fit tests for uniformity (1)
- Hadamard differentiability (1)
- Hoeffding-Blum-Kiefer-Rosenblatt independence test (1)
- Hotelling’s T² test (1)
- Hypothesentests (1)
- Integrated empirical distribution (survival) function (1)
- Kernel density estimator (1)
- Length of confidence intervals (1)
- Marginal homogeneity (1)
- Marginal homogeneity test (1)
- Multi-sample problem (1)
- Numerical inversion of Laplace transforms (1)
- Pitman efficiency (1)
- Resampling test (1)
- Vapnik–Čhervonenkis class (1)
- Vergleich von Experimenten (1)
- Volume of confidence regions (1)
- Volumes of confidence regions (1)
- Wilcoxon tests (1)
- allocation (1)
- asymptotic relative efficiency (1)
- bootstrap (1)
- central symmetry test (1)
- complete block symmetry (1)
- conditional excess distribution (1)
- conditional expectation principle (1)
- confidence interval (1)
- covariance principle (1)
- efficiency (1)
- exchangeability test (1)
- forecast (1)
- functional data (1)
- goodness-of-fit test (1)
- huge dimensional data (1)
- independence test (1)
- multinomial distribution (1)
- multivariate normal distribution (1)
- portfolio risk (1)
- random effects (1)
- random effects meta-regression model (1)
- separable Hilbert space (1)
- testing hypotheses (1)
- uniformly most powerful invariant test (1)
Is part of the Bibliography
- no (21)
On the basis of independent and identically distributed bivariate random vectors, where the components are categorial and continuous variables, respectively, the related concomitants, also called induced order statistic, are considered. The main theoretical result is a functional central limit theorem for the empirical process of the concomitants in a triangular array setting. A natural application is hypothesis testing. An independence test and a two-sample test are investigated in detail. The fairly general setting enables limit results under local alternatives and bootstrap samples. For the comparison with existing tests from the literature simulation studies are conducted. The empirical results obtained confirm the theoretical findings.