Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Steffen Liebscher"'
Autor:
Thomas Kirschstein, Steffen Liebscher
Publikováno v:
Journal of Applied Statistics. 46:1336-1349
The paper examines to what extent a player's market value depends on his skills. Therefore, a data set covering 28 performance measures and the market values of about 493 players from 1. and 2. Ger...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16ebbb882ed1bcef48de44d5597a7561
https://doi.org/10.1080/02664763.2018.1540689
https://doi.org/10.1080/02664763.2018.1540689
Autor:
Thomas Kirschstein, Steffen Liebscher
Publikováno v:
International Journal of Performance Analysis in Sport. 17:666-683
Sports statistics are one of the oldest applications of data analysis techniques in order to visualize and understand the outcome of sports events. One particularly interesting application is the analysis of darts data as darts has become tremendousl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5bf1e6cf452a76190f6eb1c3864524ff
https://doi.org/10.1080/24748668.2017.1372162
https://doi.org/10.1080/24748668.2017.1372162
Autor:
Giuseppe Pandolfo, Thomas Kirschstein, Steffen Liebscher, Giancarlo Ragozini, Giovanni C. Porzio
Robust location estimators for directional data are known for about 30 years. Scientific literature has focused on studying the asymptotic properties of these estimators like consistency and influence function. Apart from the finite-sample breakdown
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8489cc4f41eba807b8ef69c37468883
http://hdl.handle.net/11580/71416
http://hdl.handle.net/11580/71416
Autor:
Thomas Kirschstein, Steffen Liebscher
Publikováno v:
AStA Advances in Statistical Analysis. 99:63-82
The paper proposes two approaches to increase the efficiency of the pMST location and scatter estimator and of the RDELA location and scatter estimator. One approach is deduced from classical reweighting, commonly employed by established robust locat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2e7a38faf913cb6ca9f1d6aee094039
https://doi.org/10.1007/s10182-014-0231-7
https://doi.org/10.1007/s10182-014-0231-7
Publikováno v:
Journal of Multivariate Analysis. 120:173-184
One of the most essential topics in robust statistics is the robust estimation of location and covariance. Many popular robust (location and scatter) estimators such as Fast-MCD, MVE, and MZE require at least a convex distribution of the underlying d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d1461dc0cfd3bdc5e684a553b2293e1
https://doi.org/10.1016/j.jmva.2013.05.004
https://doi.org/10.1016/j.jmva.2013.05.004
Among the measures of a distribution's location, the mode is probably the least often used, although it has some appealing properties. Estimators for the mode of univariate distributions are widely available. However, few contributions can be found f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::582f54d37d751df58072e23e9d4a4341
http://hdl.handle.net/11588/606877
http://hdl.handle.net/11588/606877
Publikováno v:
Statistics and Computing. 23:677-688
We propose an approach that utilizes the Delaunay triangulation to identify a robust/outlier-free subsample. Given that the data structure of the non-outlying points is convex (e.g. of elliptical shape), this subsample can then be used to give a robu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a75203c21f44d68c225c1f788f3c2ea0
https://doi.org/10.1007/s11222-012-9337-5
https://doi.org/10.1007/s11222-012-9337-5
Autor:
Thomas Kirschstein, Steffen Liebscher
Publikováno v:
Military Operations Research. 17:31-43
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17d466a344997f978ad76bdb3d11d634
https://doi.org/10.5711/1082598317131
https://doi.org/10.5711/1082598317131
Publikováno v:
Statistics and Computing. 22:325-336
Self-organizing maps (SOMs) introduced by Kohonen (Biol. Cybern. 43(1):59---69, 1982) are well-known in the field of artificial neural networks. The way SOMs are performing is very intuitive, leading to great popularity and numerous applications (rel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba7840ce862ab92e37c048813a69facf
https://doi.org/10.1007/s11222-011-9250-3
https://doi.org/10.1007/s11222-011-9250-3
Publikováno v:
Robustness and Complex Data Structures ISBN: 9783642354939
Real-life data often contain some observations not consistent with the main bulk of the rest. Since classical statistical procedures often react sensitive against so-called outliers, the use of outlier identification methods based on robust statistic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd1259ea9d97f21a47cd37e687123b2e
https://doi.org/10.1007/978-3-642-35494-6_7
https://doi.org/10.1007/978-3-642-35494-6_7