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Simple powerful robust tests based on sign depthRePEc
ideas.repec.org
von K Leckey · · Zitiert von: 2 — Dennis Malcherczyk. (TU Dortmund University). Melanie Horn. (TU Dortmund ... Kevin Leckey & Dennis Malcherczyk & Melanie Horn & Christine H. Müller,
Kevin LECKEY | Goethe-Universität Frankfurt am Main - ResearchGatewww.researchgate.net › profile › Kevin-Leckey
www.researchgate.net
Dennis Malcherczyk · Melanie Horn · Christine H. Müller. Up to now, powerful outlier robust tests for linear ...
Artificial Intelligence, Big Data and Data Science in StatisticsCERIST
biblio.cerist.dz
Müller, Hendrik Dohme, Dennis Malcherczyk, Dirk. Biermann, and Wolfgang Tillmann. Visualising Complex Data Within a Data Science Loop: A. Spatio-Temporal ...
Laredo CollegeLaredo College
library.laredo.edu
Müller; Dennis Malcherczyk. Subjects: Statistics and Probability; Discrete mathematics; Degree (graph theory). Source: Journal of Statistical Planning and ...
K-sign Depth: From Asymptotics to Efficient ImplementationGoogle Books
books.google.com
Dennis Malcherczyk, Kevin Leckey, Christine H. Müller. Contributor, Sonderforschungsbereich Statistical Modelling of Nonlinear Dynamic Processes. Publisher, SFB ...
K-sign depth: From asymptotics to efficient implementationScienceDirect
www.sciencedirect.com
von D Malcherczyk · · Zitiert von: 9 — K-sign depth: From asymptotics to efficient implementation. Author links open overlay panel. Dennis Malcherczyk , Kevin Leckey , Christine H. Müller. Show more.
Vergleich verschiedener Optimierungsverfahren zur ...TU Dortmund
www.statistik.uni-dortmund.de
von C Müller — Kevin Leckey, Dennis Malcherczyk. Die K-Vorzeichen-Tiefe ist eine sehr einfache Datentiefe, da sie nur auf den Vorzeichen von Re- siduen basiert. Der ...
Simple powerful robust tests based on sign depth - EconPapersRePEc EconPapers
econpapers.repec.org
von K Leckey · · Zitiert von: 2 — By Kevin Leckey, Dennis Malcherczyk, Melanie Horn and Christine H. Müller; Abstract: Abstract Up to now, powerful outlier robust tests for ...
Statistical Papers | Volume 64, issue 3Springer Link
link.springer.com
Kevin Leckey · Dennis Malcherczyk · Christine H. Müller.
Detecting Diamond Breakouts of Diamond Impregnated Tools for ...www.springerprofessional.de › detecting-diamond-breakouts-of-diamond-i...
www.springerprofessional.de
Müller, Hendrik Dohme, Dennis Malcherczyk, Dirk Biermann, Wolfgang Tillmann. Mehr anzeigen. Erschienen in: Artificial Intelligence, Big Data and Data Science ...
Discussion papers / Technische Universität Dortmund ...SLUB Dresden
katalog.slub-dresden.de
... Dennis Malcherczyk, Christine H. Müller ; SFB 823 [Dortmund]: SFB 823, April 29, Frondel, Manuel [Author]; Kaeding, Matthias [Author]; Sommer, Stephan ...
Robust testing in generalized linear models by sign flipping score ...www.x-mol.com › paper
www.x-mol.com
Kevin Leckey, Dennis Malcherczyk, Melanie Horn, Christine H. Müller · Robust score test for treatment effects for paired continuous and ordinal data · Journal ...
DAGStat Statistics under one umbrella - PDF Free Download
docplayer.net
02:10 pm 02:30 pm (page 296, abstract 313) Kevin Leckey, Christine H. Müller, Dennis Malcherczyk. Generalized sign tests: From asymptotics to ecient ...
[PDF] K-sign depth: From asymptotics to efficient implementationwww.semanticscholar.org › paper › K-sign-depth:-F...
www.semanticscholar.org
Dennis Malcherczyk, Kevin Leckey, C. Müller; Published 2021; Mathematics; Journal of Statistical Planning and Inference. Abstract The K -sign depth ( K ...
Journal of Statistical Planning and Inferenceftp.math.utah.edu › toc › jstatplanninference2020
ftp.math.utah.edu
· Dennis Malcherczyk and Kevin Leckey and Christine H. Müller $K$-sign depth: From asymptotics to efficient implementation .
K-sign depth: From asymptotics to efficient implementation ...X-MOL
www.x-mol.com
— Pub Date : , DOI: j.jspi Dennis Malcherczyk , Kevin Leckey , Christine H. Müller. The K -sign depth ( K -depth) ...
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