Search - MSNat - Fakultät Statistik - TU Dortmund - TU Dortmund

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1. WiWi
2. Department
3. Department Members
Steffen Strese

ip Business Model Innovation Research methods Empirical methods (Surveys, large archival data) Regression analyses (STATA, SPSS) Structural equation modelling (AMOS) Selected publications Kindermann, B …
1. GRK 2624
2. Research
3. Projects
P6: ConcExp-Param

Design and analysis of concentration-exposure curves with common parameters) , we use the concept of regression models with shared parameters for estimating dose-exposure curves for different genes that belong …
1. UnSicht
UnSicht - Methodik

organization on research quotients and on the extent of mutual support structure. Multivariate regression analyses will show which directional relationships are present and how strong their effects are …
1. LWuS
2. Homepage
3. Chair
4. Team
Dr. Mirko Alexander Jakubzik - TU Dortmund University

(minor in Statistics), TU Dortmund University Research interests Robust statistics (esp. data and regression depth, K-sign depth, model fitting and contamination) Intensity-based modeling and inference (esp …
1. GRK 2624
2. Research
3. Projects
P9: TreatDelay

time points can be included into the analysis. One approach to overcome this issue is to fit a regression model to the data, extrapolating responses over the entire concentration or time range, respectively …
1. GRK 2624
2. Research
3. Projects
P12: ValuesBelowLimit

Bayesian mixture models with a special focus on the underlying prior distributions as well as censored regression models, such as the Tobit model with the evaluation of different underlying distributions. Moreover …
1. RCS
2. About us
3. Team
4. Researchers
5. Folder_Researchers
Dieter Teichrib M.Sc. - RCS Group

1109/CDC56724.2024.10886414 , Preprint: arXiv:2411.03834 D. Teichrib and M. Schulze Darup. Piecewise regression via mixed-integer programming for MPC, Proc. of the 6th Annual Learning for Dynamics & Control …
1. Spatial Modelling Lab
2. Event: 3/31/2023
Doctoral Colloquium of the DGPF Working Group 'Geoinformatics – Methods'

vely. A stepwise regression model is established to select significant variables from the built environment index system, and linear and multi-scale geographically weighted regression models are established [...] number of buildings, and the number of business circles. The multi-scale geographically weighted regression model has the most spatial explanatory power and reveals that the positive effect of building density …
1. STE
2. Research
3. Projects
4. Completed projects
Choice of residential location

multivariate statistical methods, specifically on linear structural equation modelling, supplemented by regression analysis. Structural equation modelling allows for the examination of complex interrelations between …
1. BPT
2. Research
3. Research topics
Novel biocatalyst

al, Direct activation of STING in the tumor microenvironment leads to potent and systemic tumor regression and immunity. Cell reports, 2015. 11(7): p. 1018-1030. [3] Cai, X., Y.-H. Chiu, and Z.J. Chen, …