Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Ann-Kathrin Bott"'
Publikováno v:
Journal of Statistical Planning and Inference. 180:81-107
The problem of estimating a time-dependent density at each time point t ∈ [ 0 , 1 ] is considered, where independent samples of the density at equidistant time points in [ 0 , 1 ] are given. Here all the samples have the same sample size. It is ass
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9760ddcd830d9023d3e986a0b610c1e7
https://doi.org/10.1016/j.jspi.2016.08.001
https://doi.org/10.1016/j.jspi.2016.08.001
Autor:
Ann-Kathrin Bott, Michael Kohler
Publikováno v:
Annals of the Institute of Statistical Mathematics. 69:189-214
In this paper, we estimate a conditional density. In contrast to standard results in the literature in this context we assume that for each observed value of the covariate we observe a sample of the corresponding conditional distribution of size larg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5acb053ed73024387426401b26c00503
https://doi.org/10.1007/s10463-015-0535-8
https://doi.org/10.1007/s10463-015-0535-8
Autor:
Ann-Kathrin Bott, Michael Kohler
Publikováno v:
International Statistical Review. 84:291-316
In this paper we estimate a conditional density by a conditional kernel density estimate. The error of the estimate is measured by the L1‐error. Based on the combinatorial method of Devroye and Lugosi (1996) we propose a new method for choosing the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef9cca22fd6b841026a104c5dc211b82
https://doi.org/10.1111/insr.12108
https://doi.org/10.1111/insr.12108
Publikováno v:
Journal of Nonparametric Statistics. 27:271-285
The problem of estimating density in a simulation model is considered. Given a value of an -valued random input parameter X, the value of a real-valued random variable is computed. Here is a function which measures the quality of a technical system w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63a792e7ad1cad460f5abb4cd1885f8f
https://doi.org/10.1080/10485252.2015.1049601
https://doi.org/10.1080/10485252.2015.1049601
Autor:
Stefan Ulbrich, Klaus Lipp, Sebastian Gramlich, D. Neufeld, Rainer Wagener, Enrico Bruder, Matthias Hansmann, Alessio Tomasella, Ivan Karin, M. Gibbels, Michael Kohler, Tobias Melz, Laura Ahmels, A. Walter, Ann-Kathrin Bott, Clemens Müller, Jörn Niehuesbernd, Michael Roos
Publikováno v:
Manufacturing Integrated Design ISBN: 9783319523767
Based on its procedural principle, every manufacturing technology affects a variety of properties of the workpiece or product in a characteristic way (Sect. 2.3). The sum of all those properties which comprise geometrical as well as material-related
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36d06d4290af6f01c741298c40ab4f4b
https://doi.org/10.1007/978-3-319-52377-4_4
https://doi.org/10.1007/978-3-319-52377-4_4
Publikováno v:
Electron. J. Statist. 7 (2013), 2457-2476
In this paper we study the problem of estimation of a distribu- tion from data that contain small measurement errors. The only assumption on these errors is that the average absolute measurement error converges to zero for sample size tending to infi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ffd18dd123a3851e48f9ba98b79c7b30
https://doi.org/10.1214/13-ejs850
https://doi.org/10.1214/13-ejs850