Zobrazeno 1 - 10
of 246
pro vyhledávání: '"Alexander Meister"'
Autor:
Peter Strohschneider, W. Günther Rohr
Publikováno v:
Kindlers Literatur Lexikon (KLL) ISBN: 9783476057280
Kindlers Literatur Lexikon (KLL)
Kindlers Literatur Lexikon (KLL)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db9f1668ed1a2c138b7c59acd9e2ff8d
https://doi.org/10.1007/978-3-476-05728-0_11031-1
https://doi.org/10.1007/978-3-476-05728-0_11031-1
Autor:
W. Günther Rohr
Publikováno v:
Kindlers Literatur Lexikon (KLL) ISBN: 9783476057280
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::513c2d80d2078cfa70333764937123df
https://doi.org/10.1007/978-3-476-05728-0_11030-1
https://doi.org/10.1007/978-3-476-05728-0_11030-1
Autor:
Crowder, Martin
Publikováno v:
International Statistical Review / Revue Internationale de Statistique, 2010 Apr 01. 78(1), 142-143.
Externí odkaz:
https://www.jstor.org/stable/27919807
Autor:
Martin Crowder
Publikováno v:
International Statistical Review. 78:142-143
Publikováno v:
Oberwolfach Reports. 16:1697-1735
Autor:
Mario Tapia, Nicolas Schuhler, M. Riquelme, Bruno Lopez, Andres Pino, Lorena Faundez, Christophe Verinaud, Frank Eisenhauer, J. Beltran, A. Ramirez, Pierre van der Heyden, Lieselotte Jochum, Jean-Baptiste Le Bouquin, J. P. Kirchbauer, Fernando Salgado, Claudia Cid, Richard Tamblay, Thibaut Moulin, Alexander Meister, Andreas Glindemann, Pierre Haguenauer, Javier Reyes, F. Delplancke-Ströbele, Angela Cortes, P. Guajardo, Stefan Huber, Anthony Meilland, Jürgen Ott, Sylvestre Lacour, Steffen Mieske, Julien Leclercq, S. Rochat, Marcus Pavez, Diego Del Valle, S. Guieu, Konrad R. W. Tristram, Sebastien Egner, Pierre Bourget, Luca Pasquini, A. Delboulbe, Christian Stephan, Pascaline Darré, Roderick Dembet, Christian A. Hummel, Peter Krempl, Marcos Suarez, Alain Smette, Pavel Shchekaturov, Yves Magnard, Ralf Conzelmann, Emmanuel Aller-Carpentier, Norbert Hubin, Isabelle Percheron, Frédéric Gonté, Jean Louis Lizon, Claudia Paladini, Thibaut Guerlet, Pablo Gutierrez, Jean-Philippe Berger, Antoine Mérand, Juan Pablo Gil, Célia Pelluet, Luis Caniguante, Johan Kosmalski, Markus Schöller, Reinaldo Donoso, Christophe Dupuy, Lorenzo Pettazzi, Laurent Jocou, Jaime Gonzales, Guillermo Valdes, Markus Wittkowski, Julien Woillez, Daniel Gaytan, Jaime Alonso, Sébastien Poupar, Xavier Haubois, Roberto Abuter, Gérard Zins, Bruno Chazelas, Eloy Fuenteseca, Paul Bristow, Laurent Pallanca, R. Frahm, Thomas Rivinius, Johann Kolb, Juan Osorio
Publikováno v:
Optical and Infrared Interferometry and Imaging VII.
Following the arrival of MATISSE, the second-generation of VLTI instrumentation is now complete and was simultaneously enhanced by a major facility upgrade including the NAOMI Adaptive Optics on the Auxiliary Telescopes. On the Unit Telescopes, signi
Autor:
Alexander Meister, Hajo Holzmann
Publikováno v:
Bernoulli 26, no. 4 (2020), 2790-2814
Random coefficient regression models are a popular tool for analyzing unobserved heterogeneity, and have seen renewed interest in the recent econometric literature. In this paper we obtain the optimal pointwise convergence rate for estimating the den
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b586b7e47f1a4d02f559fc04ff00290d
https://projecteuclid.org/euclid.bj/1598493631
https://projecteuclid.org/euclid.bj/1598493631
Publikováno v:
Electron. J. Statist. 14, no. 2 (2020), 2957-2987
The Rasch model is widely used in the field of psychometrics when $n$ persons under test answer $m$ questions and the score, which describes the correctness of the answers, is given by a binary $n\times m$-matrix. We consider the Mixed-Effect Rasch M
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a9e47da9490a2e91aed7c3a80e4e668
https://projecteuclid.org/euclid.ejs/1597284417
https://projecteuclid.org/euclid.ejs/1597284417
Publikováno v:
SSRN Electronic Journal.
In this paper, we propose a framework to estimate the distribution of marginal effects in a general class of structural models that allow for arbitrary smooth nonlinearities, high dimensional heterogeneity, and unrestricted correlation between the pe