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of 37
pro vyhledávání: '"Ludwig Baringhaus"'
Autor:
Ludwig Baringhaus, Rudolf Grübel
We obtain discrete mixture representations for parametric families of probability distributions on Euclidean spheres, such as the von Mises--Fisher, the Watson and the angular Gaussian families. In addition to several special results we present a gen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::543b52238e32da061fc380b73d5da058
Autor:
Ludwig Baringhaus, Rudolf Grübel
Publikováno v:
Metrika. 85:419-458
We introduce and discuss a multivariate version of the classical median that is based on an equipartition property with respect to quarter spaces. These arise as pairwise intersections of the half-spaces associated with the coordinate hyperplanes of
Autor:
Ludwig Baringhaus, Daniel Gaigall
Publikováno v:
Journal of Multivariate Analysis. 195:105154
Autor:
Ludwig Baringhaus, Rudolf Grübel
With any symmetric distribution $\mu$ on the real line we may associate a parametric family of noncentral distributions as the distributions of $(X+\delta)^2$, $\delta\not=0$, where $X$ is a random variable with distribution $\mu$. The classical case
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0840b27e3525daba21d0e58a21973ab
http://arxiv.org/abs/2206.10236
http://arxiv.org/abs/2206.10236
Autor:
Ludwig Baringhaus, Daniel Gaigall
Publikováno v:
Statistics. 53:1396-1436
The paper deals with an asymptotic relative efficiency concept for confidence regions of multidimensional parameters that is based on the expected volumes of the confidence regions. Under s...
Autor:
Rudolf Grübel, Ludwig Baringhaus
Publikováno v:
Electron. J. Statist. 15, no. 1 (2021), 37-70
We investigate existence and properties of discrete mixture representations $P_{\theta }=\sum _{i\in E}w_{\theta }(i)\,Q_{i}$ for a given family $P_{\theta }$, $\theta \in \Theta $, of probability measures. The noncentral chi-squared distributions pr
Publikováno v:
Computational Statistics. 33:1863-1896
The paper deals with the asymptotic behaviour of estimators, statistical tests and confidence intervals for $$L^2$$ -distances to uniformity based on the empirical distribution function, the integrated empirical distribution function and the integrat
Autor:
Daniel Gaigall, Ludwig Baringhaus
Publikováno v:
Metrika. 81:891-930
The efficiency concepts of Bahadur and Pitman are used to compare the Wilcoxon tests in paired and independent survey samples. A comparison through the length of corresponding confidence intervals is also done. Simple conditions characterizing the do
Autor:
Ludwig Baringhaus, Daniel Gaigall
Publikováno v:
Communications in Statistics - Theory and Methods. 48:257-267
In a special paired sample case, Hotelling’s T2 test based on the differences of the paired random vectors is the likelihood ratio test for testing the hypothesis that the paired random vectors hav...
Autor:
Ludwig Baringhaus, Norbert Henze
Publikováno v:
Journal of Nonparametric Statistics. 29:167-188
We give a probabilistic interpretation of the Cramer–von Mises distance between continuous distribution functions F and . If F is unknown, we construct an asymptotic confidence interval for based on a random sample from F. Moreover, for given and s