C. Müller

发表

On consistency of redescending M-kernel smoothers

M. Hillebrand, C. Müller, 2006 .

Breakdown points and variation exponents of robust $M$-estimators in linear models

C. Müller, I. Mizera, 1999 .

Breakdown points of Cauchy regression-scale estimators

C. Müller, I. Mizera, 2002 .

New robust tests for the parameters of the Weibull distribution for complete and censored data

C. Müller, Liesa Denecke, 2014 .

Breakdown points of trimmed likelihood estimators and related estimators in generalized linear models

C. Müller, N. Neykov, C. V. Ossietzky, 2003 .

Powerful generalized sign tests based on sign depth

C. Müller, Kevin Leckey, 2019 .

Generalized sign tests based on sign depth

C. Müller, Kevin Leckey, Dennis Malcherczyk, 2018 .

Location–Scale Depth

C. Müller, I. Mizera, 2004 .

Simplified simplicial depth for regression and autoregressive growth processes Discussion Paper

C. Müller, M. Wendler, Christoph P. Kustosz, 2016 .

Consistency of the likelihood depth estimator for the correlation coefficient

C. Müller, Liesa Denecke, 2014 .

Consistency and robustness of tests and estimators based on depth

C. Müller, Liesa Denecke, 2012 .

Data Depth for Classical and Orthogonal Regression

C. Müller, R. Wellmann, 2009 .

Robust Estimators and Tests for Copulas based on Likelihood Depth Liesa Denecke

C. Müller, 2009 .

Depth estimators and tests based on the likelihood principle with application to regression

C. Müller, 2005 .

Simple consistent cluster methods based on redescending M-estimators with an application to edge identification in images

C. Müller, T. Garlipp, 2005 .

Regression Clustering with Redescending M-Estimators

C. Müller, T. Garlipp, 2005 .

Robust Jump Detection in Regression Surface

C. Müller, 2004 .

Trimmed likelihood estimators for lifetime experiments and their influence functions

C. Müller, B. R. Clarke, Sebastian Szugat, 2016 .

Influence functions of trimmed likelihood estimators for lifetime experiments

C. Müller, B. R. Clarke, Sebastian Szugat, 2015 .

SFB 823 Influence functions of trimmed likelihood estimators for lifetime experiments D iscussion P aper

C. Müller, B. R. Clarke, Sebastian Szugat, 2015 .

Detection of Anomalous Sequences in Crack Data of a Bridge Monitoring

C. Müller, R. Fried, Sermad Abbas, 2019, Studies in Classification, Data Analysis, and Knowledge Organization.

Robust Estimation of Non-linear Aspects

Christos P. Kitsos, Christine H. Müller, C. Müller, 1995 .

Bayesian prediction of crack growth based on a hierarchical diffusion model

K. Ickstadt, C. Müller, Simone Hermann, 2016 .

SFB 823 Trimmed likelihood estimators for stochastic differential equations with an application to crack growth analysis from photos D iscussion P aper

C. Müller, S. Meinke, 2016 .

Trimmed likelihood estimators for stochastic differential equations with an application to crack growth analysis from photos

C. Müller, S. Meinke, 2016 .

Investigation of the performance of trimmed estimators of life time distributions with censoring

C. Müller, B. R. Clarke, Alexandra Höller, 2017 .

Optimum robust testing in linear models

C. Müller, 1998 .

Bayesian prediction of crack growth based on a hierarchical diffusion model

K. Ickstadt, C. Müller, Simone Hermann, 2016 .

Optimal Design for Prediction in Random Field Models via Covariance Kernel Expansions

L. Pronzato, C. Müller, J. Kunert, 2016 .

Prediction intervals for the failure time of prestressed concrete beams

C. Müller, Sebastian Szugat, J. Heinrich, 2016 .

Analysis of Orientations of Micro Cracks via Circular Statistics

C. Müller, Katja Falta, 2011 .

Simplical depth estimators and tests in examples from shape analysis

C. Müller, S. Katina, R. Wellmann, 2008 .

Simple powerful robust tests based on sign depth

C. Müller, Kevin Leckey, Dennis Malcherczyk, 2022, Statistical Papers.

New robust tests for the parameters of the Weibull distribution for complete and censored data

C. Müller, Liesa Denecke, 2013, Metrika.

Sign depth tests in multiple regression

C. Müller, Melanie Horn, 2022, Journal of Statistical Computation and Simulation.

Consistency of the likelihood depth estimator for the correlation coefficient

C. Müller, Liesa Denecke, 2012, Statistical Papers.

Optimal design of inspection times for interval censoring

C. Müller, N. Malevich, 2019, Statistical Papers.

Optimal designs for inspection times of interval-censored data

C. Müller, N. Malevich, 2018 .

Applications of necessary and sufficient conditions for maximin efficient designs

Andrej Pázman, Christine H. Müller, C. Müller, 1998 .

Maximin efficient designs for estimating nonlinear aspects in linear models

Christine H. Müller, C. Müller, 1995 .

Robust Linear Calibration

Christos P. Kitsos, Christine H. Müller, C. Müller, 1995 .

Breakdown points for designed experiments

Christine H. Müller, C. Müller, 1995 .

Asymptotic Behaviour of One-Step-M-Estimators in Contaminated Non-Linear Models

C. Müller, 1994 .

Optimal designs for robust estimation in conditionally contaminated linear models

C. Müller, 1994 .

mODa 11 - Advances in Model-Oriented Design and Analysis : Proceedings of the 11th International Workshop in Model-Oriented Design and Analysis held in Hamminkeln, Germany, June 12-17, 2016

Anthony C. Atkinson, Joachim Kunert, Christine H Müller, 2016 .

Bayesian prediction for a jump diffusion process - With application to crack growth in fatigue experiments

Katja Ickstadt, Christine H. Müller, Simone Hermann, 2016, Reliab. Eng. Syst. Saf..

Breakdown Point and Computation of Trimmed Likelihood Estimators in Generalized Linear Models

Christine H. Müller, N. M. Neykov, C. Müller, 2003 .

Breakdown Points of Estimators for Aspects of Linear Models

C. Müller, 1998 .

Data depth for simple orthogonal regression with application to crack orientation

Christine H. Müller, C. Müller, 2011 .

Some Perspectives on Location and Scale Depth Functions

C. Müller, 2022 .

High Breakdown Point and High Efficiency

Christine H. Müller, C. Müller, 1997 .

K-sign depth: From asymptotics to efficient implementation

Kevin Leckey, Christine H. Müller, Dennis Malcherczyk, 2021 .

Depth notions for orthogonal regression

Christine H. Müller, Robin Wellmann, C. Müller, 2010, J. Multivar. Anal..

D-Optimal Designs for Lifetime Experiments with Exponential Distribution and Censoring

Christine H. Müller, C. Müller, 2013 .

Estimation of variance components with high breakdown point and high efficiency

Steffen Uhlig, Christine H. Müller, C. Müller, 2001 .

Asymptotic normality and efficiency of variance components estimators with high breakdown points

C. Müller, 2000 .

Prediction of crack growth based on a hierarchical diffusion model

Katja Ickstadt, Christine H. Müller, Simone Hermann, 2015 .

Redescending M-estimators in regression analysis, cluster analysis and image analysis

Christine H. Müller, C. Müller, 2023, Discussiones Mathematicae Probability and Statistics.

Prediction intervals for load‐sharing systems in accelerated life testing

Kevin Leckey, Christine H. Müller, Sebastian Szugat, 2020, Qual. Reliab. Eng. Int..

Bayes Estimators of Covariance Parameters and the Influence of Designs

C. Müller, Y. Fathy, 2007 .

Micro crack detection with Dijkstra’s shortest path algorithm

Christine H. Müller, Arne C. Müller, Christina Gunkel, 2012, Machine Vision and Applications.

Upper and Lower Bounds for Breakdown Points

C. Müller, 2013 .

Designs with High Breakdown Point in Nonlinear Models

C. Müller, Christina Schäfer, 2010 .

Statistical analysis of damage evolution with a new image tool

Christine H. Müller, C. Gunkel, Liesa Denecke, 2011 .

Large-scale clustering of cDNA-fingerprinting data.

C. Müller, J. O'Brien, H. Lehrach, 1999, Genome research.

Tests for multiple regression based on simplicial depth

Christine H. Müller, Robin Wellmann, C. Müller, 2010, J. Multivar. Anal..

Distribution-free tests for polynomial regression based on simplicial depth

Christine H. Müller, Robin Wellmann, Peter Harmand, 2009, J. Multivar. Anal..

The Influence of the Design on the Breakdown Point of ℓ1-type M-estimators

C. Müller, I. Mizera, I. Mizera, 2001 .

Estimators and Tests based on Likelihood Depth for Copulas and the Weibull-Distribution

C. Müller, Liesa Denecke, 2009 .

Tests Based on Simplicial Depth for AR(1) Models With Explosion

Anne Leucht, C. Müller, Christoph P. Kustosz, 2016 .

Simple powerful robust tests based on sign depth

C. Müller, Kevin Leckey, Dennis Malcherczyk, 2022, Statistical Papers.

Statistical Analysis of the Lifetime of Diamond-Impregnated Tools for Core Drilling of Concrete

C. Müller, D. Biermann, W. Tillmann, 2019, Studies in Classification, Data Analysis, and Knowledge Organization.

Optimal breakdown point maximizing designs

C. Müller, 1995 .

Robust Inference and Experimental Design for Multi-Factor Models

C. Müller, 1997 .

High Breakdown Point Designs

C. Müller, 1996 .

Optimal Design Criteria Based on Tolerance Regions

Christos P. Kitsos, Christine H. Müller, C. Müller, 2004 .

Simultaneous Inference in Regression. W. Liu (2011). Boca Raton: CRC Press. ISBN: 978‐1‐4398‐2809‐0

C. Müller, 2011 .

A-optimal designs for state estimation in networks

C. Müller, Kirsten Schorning, 2023, Statistical Papers.