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Matthias Trampisch - The Mathematics Genealogy Project
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Matthias Trampisch . MathSciNet. Dr. rer. nat. Ruhr-Universität Bochum Dissertation: D-optimal designs in location scale models. Mathematics Subject Classification: 62—Statistics . Advisor 1: Holger Dette. No students known. If you have additiona ...
Optimal designs for quantile regression models - Dialnetunirioja.es
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von H Dette · — Autores: Holger Dette, Matthias Trampisch · Localización: Quality control and applied statistics, ISSN , Vol. 58, Nº. 5-6, 2013, págs · Idioma: ... › articulo
A General Approach to D-optimal Designs for Weighted Univariate...
books.google.de
Holger Dette, Matthias Trampisch. Universitätsbibliothek Dortmund, Seiten. 0 Rezensionen. Was andere dazu sagen - Rezension schreiben. Es wurden keine Rezensionen gefunden. Bibliografische Informationen. Titel: A General Approach to D-optimal Designs for Weighted Univariate Polynomial Regression Models
羅夢娜教授 (Mong-Na Lo Huang) (72 年 8 月畢業中山大學應用數學系
math.nsysu.edu.tw
weighted univariate polynomial regression models” by Holger Dette and Matthias Trampisch. JOURNAL. OF THE KOREAN STATISTICAL SOCIETY, 39:31–33, [SCIE ... weighted univariate polynomial regression models” by Holger Dette and Matthias Trampisch. JOURNAL. OF THE KOREAN STATISTICAL SOCIETY, 39:31–33, [SCIE ...
D - -optimal designs for weighted univariate polynomial ...ScienceDirect.com
www.sciencedirect.com
von LM Haines · — Discussion of the paper “A general approach to D -optimal designs for weighted univariate polynomial regression models” by Holger Dette and Matthias Trampisch. von LM Haines · — Discussion of the paper “A general approach to D -optimal designs for weighted univariate polynomial regression models” by Holger Dette and Matthias Trampisch.
Discussion papers SFB 823 in 2011TU Dortmund
statistik.tu-dortmund.de
26/11: Holger Dette, Matthias Trampisch Optimal designs for quantile regression models : Harald Tauchmann Partial frontier efficiency analysis for : Holger Dette, Matthias Trampisch Optimal designs for quantile regression models : Harald Tauchmann Partial frontier efficiency analysis for ...
IDeAl recent accepted papers – IDEALwww.ideal.rwth-aachen.de › ...
www.ideal.rwth-aachen.de
... subgroups” from Frank Bretz, Kathrin Möllenhoff, Holger Dette, Wei Liu & Matthias Trampisch has been accepted for publication in Statistics in Medicine.
(PDF) Robust Designs in Noninferiority Three-Arm ClinicalAmanote Research
research.amanote.com
Robust Designs in Noninferiority Three-Arm Clinical Trials With Presence of Heteroscedasticity by Holger Dette, Matthias Trampisch, Ludwig A. Hothorn. Robust Designs in Noninferiority Three-Arm Clinical Trials With Presence of Heteroscedasticity by Holger Dette, Matthias Trampisch, Ludwig A. Hothorn.
Robust designs in non-inferiority three arm clinical trials with ...RePEc
econpapers.repec.org
By Holger Dette, Matthias Trampisch and Ludwig A. Hothorn; Abstract: In this paper, we describe an adjusted method to facilitate a non-inferiority trial by ...
optimal designs for weighted univariate polynomial ...Academia.edu
www.academia.edu
Discussion of the paper “A general approach to -optimal designs for weighted univariate polynomial regression models” by Holger Dette and Matthias Trampisch. Discussion of the paper “A general approach to -optimal designs for weighted univariate polynomial regression models” by Holger Dette and Matthias Trampisch.
A general approach to D-optimal designs for weighted ...infona.pl
www.infona.pl
A general approach to D-optimal designs for weighted univariate polynomial regression models. Holger Dette, Matthias Trampisch · Details · Contributors · Fields ... A general approach to D-optimal designs for weighted univariate polynomial regression models. Holger Dette, Matthias Trampisch · Details · Contributors · Fields ...
Discussion of Dette and Trampisch's paper "A general approach to...
pubmed.ncbi.nlm.nih.gov
1. März · This is discussion on "A general approach to D-optimal designs for weighted univariate polynomial regression models" by Holger Dette and Matthias Trampisch.
Quality control and applied statistics , Vol. 58, Nº Dialnetdialnet.unirioja.es › ejemplar
dialnet.unirioja.es
Holger Dette, Matthias Trampisch. págs Artículo. Nonparametric regression when estimating the probability of success: A comparison of four extant ...
Rejoinder: A general approach to D-optimal 한국학술지인용색인www.kci.go.kr › sereArticleSearch › ciSereArtiView
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Holger Dette 1 , Matthias Trampisch 2. 1Ruhr-Universität Bochum. 2Ruhr-Universität Bochum. 키워드열기/닫기 버튼. 이 키워드로 연구동향 분석 이 키워드로 논문 검색 ...
Rejoinder: A general approach to D-optimal designs ...kci.go.kr
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Rejoinder: A general approach to D-optimal designs for weighted univariate polynomial regression models. Holger Dette; Matthias Trampisch.
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