Publikationen Christine Müller

Monographien / Books

• Kunert, J., Müller, Ch.H., Atkinson, A. (2016) Eds. 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, Springer, Berlin.
• Müller, Ch.H. and Denecke, L. (2013). Stochastik in den Ingenieurwissenschaften - Eine Einführung mit R, Springer, Berlin.
• Müller, Ch.H. (1997). Robust Planning and Analysis of Experiments. Lecture Notes in Statistics 124, Springer, New York.
• Müller, Ch.H. (1995). Outlier Robust Inference for Planned Experiments. Habilitationsschrift. Freie Universität Berlin.
• Müller, Ch.H. (1987). Optimale Versuchspläne für robuste Schätzfunktionen in linearen Modellen. Ph. D. thesis. Freie Universität Berlin.

Eingereichte Arbeiten / Submitted Papers

• Müller, C.H., Nagy, S., and Trippler, S. (2024). Multivariate sign depth and related distribution-free tests for model fit. Supplementary Material: Multivariate_sign_depth_Supplement.pdf.

Angenommene Arbeiten / Accepted Papers

2024

• Dohme, H., Malcherczyk, D., Leckey, K., and Müller, C.H. (2022). K-depth tests for testing simultaneously independence and other model assumptions in time series. Communications in Statistics - Simulation and Computation. https://doi.org/10.1080/03610918.2024.2413905.  Supplementary Material: PDF with additional simulation results (300 KB), ZIP-File with data and R codes (3.0 MB).

2023

• Leckey, K., Jakubzik, M., and Müller, C.H. (2023). On the consistency of K-sign depth tests. Econometrics and Statistics. https://doi.org/10.1016/j.ecosta.2023.10.002.
• Leckey, K., Malcherczyk, D.A., Horn, M., and Müller, C.H. (2023). Simple powerful robust tests based on sign depth. Statistical Papers 64, 857-882.  https://doi.org/10.1007/s00362-022-01337-5. Supplementary Material: Robust Tests via Sign Depth - Supplement.pdf
• Horn, M. and Müller, C.H. (2023). Sign depth tests in multiple regression. Journal of Statistical Computation and Simulation 93, 1169-1191. https://doi.org/10.1080/00949655.2022.2130922.
• Müller, C.H., Schorning, K. (2023). A-optimal designs for state estimation in networks. Statistical Papers 64, 1159 - 1186. https://doi.org/10.1007/s00362-023-01435-y

2022

• Müller, C.H., Dohme, H., Malcherczyk, D., Biermann, D., and Tillmann, W. (2022). Detecting diamond breakouts of diamond impregnated tools for core drilling of concrete by force measurements. In: Artificial Intelligence, Big Data and Data Science in Statistics. Eds. K.-L. Tsui, A. Steland, Springer. Preprint.
• Müller, C.H. and Meyer, R. (2022). Inference of intensity based models  for load-sharing systems with damage accumulation. IEEE Transactions on Reliability 71, 539 - 554, DOI 10.1109/TR.2022.3140483 . Supplementary Material: PDF with additional results (1.1 MB), ZIP-File with codes and data (3.6 MB).
• Rendtel, U., Seidel, W., Müller, C., Meinfelder, F., Wagner, J., Chlumsky, J., and Zwick, M. (2022). Statistik zwischen Data Science, Artificial Intelligence und Big Data: Beiträge aus dem Kolloquium „Make Statistics great again“.  AStA Wirtschafts- und Sozialstatistisches Archiv 16, 97-147, https://doi.org/10.1007/s11943-022-00305-7.

2021

• Malevich, N., Müller, C.H., Dreier, J., Kansteiner, M., Biermann, D., Ferreira, M. and Tillmann, W. (2021). Experimental and statistical analysis of the wear of diamond impregnated tools. Wear, Volumes 468-469, Article 203574, doi.org/10.1016/j.wear.2020.203574 .
• Malcherczyk, D.A., Leckey, K., and Müller, C.H. (2021). K-sign depth: From asymptotics to efficient implementation. Journal of Statistical Planning and Inference 215, 344-355.
• Heinrich, J., Maurer, R., Leckey, K., Müller, C.H., and Ickstadt, I. (2021).  Detektieren ermüdungsbedingter Spannstahlbrüche mittels Rissmonitoring im Versuch und am Bauwerk. Bauingenieur, 96, 92-101.

2020

• Leckey, K., Müller, C.H., Szugat, S., and  Maurer, R. (2020). Prediction intervals for load sharing systems in accelerated life testing. Quality and Reliability Engineering International 36, 1895-1915. doi.org/10.1002/qre.2664
• Kirchhoff, D., Kuhnt, S., Bloch, L., and Müller, C.H. (2020). Detection of circlelike overlapping objects in thermal spray images. Quality and Reliability Engineering International 36, 2639-2659. doi.org/10.1002/qre.2689  

2019

• Müller, C.H. (2019). Statistik und die Zuverlässigkeit von technischen Produkten. In: Faszination Statistik. Einblicke in aktuelle Forschungsfragen und Erkenntnisse. Eds. W. Krämer, C. Weihs, Springer, 157-163.
• Malevich, N., and Müller, C.H. (2019). Optimal design of inspection times for interval censoring. Statistical Papers 60, 99–114, doi:10.1007/s00362-018-01067-7 . Preprint.
• Müller, C.H. (2019). Diskussion von "Journal-Rankings und Karriere im Fach Statistik an wirtschaftswissenschaftlichen Fakultäten" von Ulrich Rendtel. AStA Wirtschafts- und Sozialstatistisches Archiv 13, 149-151. doi:10.1007/s11943-019-00250-y
• Malevich, N., Müller, C.H., Kansteiner, M., Biermann, D., Ferreira, M. and Tillmann, W. (2019). Statistical analysis of the lifetime of diamond impregnated tools  for core drilling of concrete. In: Applications in Statistical Computing - From Music Data Analysis to Industrial Quality Improvement. Eds. K. Ickstadt, H. Trautmann, G. Szepannek, N. Bauer, K. Lübke, M. Vichi, Springer, 233-249. Preprint: PDF-File.
• Abbas, S., Fried, R., Heinrich, J., Horn, M., Jakubzik, M., Kohlenbach, J., Maurer, R., Michels, A. and Müller, C.H. (2019). Detection of anomalous sequences in crack data of a bridge monitoring. In: Applications in Statistical Computing - From Music Data Analysis to Industrial Quality Improvement. Eds. K. Ickstadt, H. Trautmann, G. Szepannek, N. Bauer, K. Lübke, M. Vichi, Springer, 251-269. Preprint: PDF-File.
• Kansteiner, M., Biermann, D., Malevich, N., Horn, M., Müller, C., Ferreira, M., Tillmann, W. (2018). Analysis of the wear behaviour of diamond impregnated tools used for the core drilling of concrete with statistical lifetime prediction. DIAMANTE Applicazioni & Tecnologia, Vol. 96, pp.17-25.
• Tillmann, W.,Biermann, D.,Müller, C.H., Alkas-Yonan, S., Ferreira, M., Wojarski, W., Kansteiner, M., Becke, M. (2019). Influence of the distance between single  diamonds on the scratching behavior on concrete. DIAMANTE Applicazioni & Tecnologia, Vol. 96, pp. 26-34.

2018

• Kansteiner, M., Biermann, D., Malevich, N., Horn, M., Müller, C., Ferreira, M., Tillmann, W. (2018). Analysis of the wear behaviour of diamond impregnated tools used for the core drilling of concrete with statistical lifetime prediction. In: Proceedings of Euro PM2018, Europe's annual powder metallurgy congress and exhibition, Bilbao, 14 - 18 October 2018.
• Müller, C.H., and Meinke, S.H. (2018). Trimmed likelihood estimators for stochastic differential equations with an application to crack growth analysis from photos.  Archives of Data Science, Series A (Online First), 3 (1), doi:10.5445/KSP/1000083488/01
• Hermann, S., Ickstadt, K. and Müller, Ch.H. (2018). Bayesian prediction for a jump diffusion process with application to crack growth in fatigue experiments. Reliability Engineering and System Safety, 179, 83–96. DOI:10.1016/j.ress.2016.08.012 . Preprint: PDF-File.

2017

• Clarke, B.R., Höller, A., Müller, C.H., Wamahiu, K. (2017). Investigation of the performance of trimmed estimators of life time distributions with censoring.  Australian & New Zealand Journal of Statistics 59, 513–525. Preprint: PDF-File.
• Kansteiner, M., Biermann, D., Dagge, M., Müller, C., Ferreira, M., Tillmann, W. (2017). Statistical evaluation of the wear behaviour of diamond impregnated tools used for the core drilling of concrete. In: Proceedings of Euro PM2017, Europe's annual powder metallurgy congress and exhibition, Milan, 1st - 5th October 2017.
• Heinrich, J., Maurer, R., Hermann, S., Ickstadt, K., Müller, C. (2017). Resistance of Prestressed Concrete Structures to Fatigue in Domain of Endurance Limit. In: Proceedings of fib Symposium Maastricht, High Tech Concrete: Where Technology and Engineering Meet, 12th - 14th June 2017.
• Szugat, S., Bakhtin, I., Fechtel, L., Hüsch, M., Riehl, J., Tegethoff, C., Müller, C.H. (2017). Bedingungen für hohe Publikationsraten von Ländern in hochrangigen internationalen Statistik-Fachzeitschriften. AStA Wirtschafts- und Sozialstatistisches Archiv 11, 33-49, DOI:10.1007/s11943-017-0201-0

2016

• Szugat, S., Heinrich, J., Maurer, R. and Müller, C.H. (2016). Prediction intervals for the failure time of prestressed concrete beams. Advances in Materials Science and Engineering, DOI:10.1155/2016/9605450 . Preprint: PDF-File.
• Hermann, S., Ickstadt, K. and Müller, Ch.H. (2016). Bayesian prediction of crack growth based on a hierarchical diffusion model. Applied Stochastic Models in Business and Industry 32, 494–510, DOI: 10.1002/asmb.2175 . Preprint: PDF-File.
• Kustosz, Ch.P., Müller, Ch.H. and Wendler, M. (2016). Simplified simplicial depth for regression and autoregressive growth processes. Journal of Statistical Planning and Inference 173, 125–146, DOI 10.1016/j.jspi.2016.01.005 . Preprint: PDF-File.
• Kustosz, Ch.P., Leucht, A. and Müller, Ch.H. (2016). Tests based on simplicial depth for AR(1) models with explosion. Journal of Time Series Analysis 37, 763–784, DOI 10.1111/jtsa.12186 . Preprint: PDF-File.
• Müller, Ch.H., Szugat, S., Celik, N. and Clarke, B.R. (2016). Trimmed likelihood estimators for lifetime experiments and their influence functions. Statistics 50, 505-524, DOI: 10.1080/02331888.2015.1104313 . Preprint: PDF-File.
• Heinrich, J., Heeke, G., Maurer, R. and Müller, C.H. (2016). Resistance to fatigue and prediction of lifetime of wire tendons cast into concrete up to 10E8 cycles. Proceedings of 19th IABSE
  Congress Stockholm, 21.-23.09.2016, 2586-2598.
• Heeke, G., Heinrich, J., Maurer, R. and Müller, C.H. (2016). Neue Erkenntnisse zur Ermüdungsfestigkeit und Prognose der Lebensdauer von einbetonierten Spannstählen bei sehr hohen Lastwechselzahlen. In Tagungshandbuch 2016, 2. Brückenkolloquium, Technische Akademie
  Esslingen, Stuttgart, 529-539.

 2014

• Denecke, L., and Müller, Ch.H. (2014). Consistency of the likelihood depth estimator for the correlation coefficient. Statistical Papers 55, 3-13. Preprint: PDF-File.
• Denecke, L., and Müller, Ch.H. (2014). New robust tests for the parameters of the Weibull distribution for complete and censored data. Metrika 77, 585-607. Preprint: PDF-File.
• Kustosz, Ch.P. and Müller, Ch.H. (2014). Analysis of crack growth with robust, distributionfree estimators and tests for nonstationary autoregressive processes. Statistical Papers 55, 125-140. Preprint: PDF-File.

2013

• Müller, Ch.H. (2013). Upper and lower bounds for breakdown points. In: Robustness and Complex Data Structures. Festschrift in Honour of Ursula Gather. Eds. C. Becker, R. Fried and S. Kuhnt, Springer, Berlin, Heidelberg, 67-84. Preprint: PDF-File.     
• Müller, Ch.H. (2013). D-optimal designs for lifetime experiments with exponential distribution and censoring. In: mODa 10 - Advances in Model-Oriented Design and Analysis. Eds. D. Ucinski, A.C. Atkinson and M. Patan, Physica-Verlag, Heidelberg, 179-186. Preprint: PDF-File.

2012

• Denecke, L., and Müller, Ch.H. (2012). Consistency and robustness of tests and estimators based on depth. J. Statist. Plann. Inference 142,  2501–2517. Preprint: PDF-File
• Gunkel, C., Stepper, A., Müller, A.C., and Müller, Ch.H. (2012). Micro crack detection with Dijkstra's shortest path algorithm. Machine Vision and Applications 23, 589-601. Preprint: PDF-File

2011

• Müller, Ch.H., Huggins, R., and Hwang, W.-H. (2011). Consistent estimation of species abundance from a presence-absence map.  Statistics and Probability Letters 81, 1449-1457. Preprint: PDF-File
• Müller, Ch.H. (2011). Data depth for simple orthogonal regression with application to crack orientation. Metrika 74, 135–165. Preprint: PDF-File
• Müller, Ch.H., Gunkel, C., and Denecke, L. (2011). Statistical analysis of damage evolution with a new image tool.  Fatigue & Fracture of Engineering Materials & Structures 34, 510-520. Preprint: PDF-File
• Denecke, L., and Müller, Ch.H. (2011). Robust estimators and tests for bivariate copulas based on likelihood depth.   Computational Statistics and Data Analysis 55, 2724-2738. Preprint: PDF-File

2010

• Wellmann, R., and Müller, Ch.H. (2010). Tests for multiple regression based on simplicial depth. Journal of Multivariate Analysis 101, 824-838. Preprint: PDF-File
• Wellmann, R., and Müller, Ch.H. (2010). Depth notions for orthogonal regression. Journal of Multivariate Analysis 101, 2358-2371. Preprint: PDF-File
• Müller, Ch.H., and Schäfer, Ch. (2010). Designs with high breakdown point in nonlinear models. In: mODa 9 - Advances in Model-Oriented Design and Analysis. Eds. A. Giovagnoli, A. C. Atkinson, and B. Torsney, Physica-Verlag, Heidelberg, 137-144. Preprint: PDF-File

2009

• Siudak, A., von Lieres, E., and Müller, Ch.H. (2009). Estimation, model discrimination, and experimental design for implicitly given nonlinear models of enzyme catalyzed chemical reactions. Mathematica Slovaca 59, 593-610. Preprint: PDF-File
• Wellmann, R., Harmand, P. and Müller, Ch.H. (2009). Distribution-free tests for polynomial regression based on simplicial depth. Journal of Multivariate Analysis 100, 622-635. Preprint: PDF-File

2008

• Katina, St., Wellmann, R. and Müller, Ch.H. (2008). Simplicial depth estimators and tests in examples from shape analysis. Tatra Mt. Math. Publ. 39, 95–104. Preprint: PDF-File

2007

• Hillebrand, M. and Ch.H. Müller (2007). Outlier robust corner-preserving methods for reconstructing noisy images. Ann. Statist. 35, 132-165. Preprint: PDF-File
• Garlipp, T. and Müller, Ch.H. (2007). Robust jump detection in regression surface. Sankhya 69, 55-86. Preprint: PDF-File
• Wellmann, R., Katina, St. and Müller, Ch.H. (2007). Calculation of simplicial depth estimators for polynomial regression with applications. Computational Statistics and Data Analysis 51, 5025-5040. Preprint: PDF-File
• Fathy, Y. and Müller, Ch.H. (2007). Bayes estimators of covariance parameters and the influence of designs. In: mODa 8 - Advances in Model-Oriented Design and Analysis. Eds. J. López-Fidalgo, J. M. Rodríguez-Díaz, and B. Torsney, Physica-Verlag, Heidelberg, 49-56. Preprint: PDF-File

2006

• Garlipp, T. and Müller, Ch.H. (2006). Detection of linear and circular shapes in image analysis. Computational Statistics and Data Analysis 51, 1479-1490. Preprint: PDF-File
• Hillebrand, M. and Ch.H. Müller (2006). On consistency of redescending M-kernel smoothers. Metrika 63, 71 - 90. Preprint: PDF-File

2005

• Ch.H. Müller (2005). Depth estimators and tests based on the likelihood principle with application to regression. Journal of Multivariate Analysis 95, 153-181. Preprint: PDF-File
• Müller, Ch.H. and Garlipp, T. (2005). Simple consistent cluster methods based on redescending M-estimators with an application to edge identification in images. Journal of Multivariate Analysis 92, 359-385. Preprint: PDF-File
• Garlipp, T. and Müller, Ch.H. (2005). Regression clustering with redescending M-estimators. In: Innovations in Classification, Data Science, and Information Systems, eds. D. Baier, K.-D. Wernecke, Springer-Verlag, Heidelberg, 38-45. PDF-File

2004

• Mizera, I. and Ch.H. Müller (2004). Location-scale depth. Journal of the American Statistical Association 99, 949-966. With discussion. Preprints: PDF-File, PDF-File of Rejoinder
• Ch.H. Müller (2004). Redescending M-estimators in regression analysis, cluster analysis and image analysis. Discussiones Mathematicae - Probability and Statistics 24, 59-75. Preprint: PDF-File
• Ch.H. Müller and Kitsos, C.P. (2004). Optimal design criteria based on tolerance regions. In: mODa 7 - Advances in Model-Oriented Design and Analysis, eds. A. Di Bucchianico, H. Läuter, H.P. Wynn, Physica-Verlag, Heidelberg, 107-115. Preprint: PDF-File

2003

• Müller, Ch.H. and Neykov, N. (2003). Breakdown points of trimmed likelihood estimators and related estimators in generalized linear models. J. Statist. Plann. Inference. 116, 503-519. Preprint: PDF-File
• Müller, Ch.H. (2003). Robust estimators for estimating discontinuous functions. In: Developments in Robust Statistics, eds. R. Dutter, P. Filzmoser, U. Gather, P.J. Rousseeuw , Physica-Verlag, Heidelberg, 266-276. Preprint: PDF-File
• Neykov, N. and Müller, Ch.H. (2003). Breakdown point and computation of trimmed likelihood estimators in generalized linear models. In: Developments in Robust Statistics, eds. R. Dutter, P. Filzmoser, U. Gather, P.J. Rousseeuw , Physica-Verlag, Heidelberg, 277-286. Preprint: PDF-File

2002

• Müller, Ch.H. (2002). Robust estimators for estimating discontinuous functions. Metrika 55, 99-109. Preprint: PDF-File
• Müller, Ch.H. (2002). Comparison of high breakdown point estimators for image denoising. Allg. Stat. Archiv 86, 307-321.
• Mizera, I. and Müller, Ch.H. (2002). Breakdown points of Cauchy regression-scale estimators. Statist. & Probab. Letters 57, 79-89.

2001

• Bednarski, T. and Müller, Ch.H. (2001). Optimal bounded influence regression and scale M-estimators. Statistics 35, 349-369. Preprint: PDF-File
• Müller, Ch.H. and Uhlig, St. (2001). Estimation of variance components with high breakdown point and high efficiency. Biometrika 88, 353-366.
• Mizera, I. and Müller, Ch.H. (2001). The influence of the design on the breakdown point of l1-type M-estimators. In: MODA 6 - Advances in Model-Oriented Design and Analysis, eds. A.C. Atkinson, P. Hackl, W.G. Müller, Physica-Verlag, Heidelberg, 193-200.
• Müller, Ch.H. (2001). Trimmed likelihood estimators in generalized linear models. In: Proceedings of the Sixth International Conference on Computer Data Analysis and Modeling, eds. S. Aivazian, Y. Kharin, H. Rieder, Minsk, Vol.2, 142-150. Preprint: PDF-File

2000

• Müller, Ch.H. (2000). Asymptotic normality and efficiency of variance components estimators with high breakdown points. Discussiones Mathematicae - Algebra and Stochastic Methods 20, 85-95.

1999

• Mizera, I. and Müller, Ch.H. (1999). Breakdown points and variation exponents of robust M-estimators in linear models. Ann. Statist.27, 1164-1177.
• Herwig, R., Poustka, A.J., Müller, Ch.H., Bull, Ch., Lehrach, H. and O'Brien, J. (1999). Large-scale clustering of cDNA-fingerprinting data. Genome Research 9, 1093-1105.
• Müller, Ch.H. (1999). On the use of high breakdown point estimators in the image analysis. Tatra Mountains Math. Publ. 17, 283-293.
• Müller, Ch.H. (1999). Bayesian designs versus maximin efficient designs for nonlinear problems. In Proceedings of the 52nd Session of the International Statistical Institute, Tome LVIII, Bulletin of the International Statistical Institute, Edita Ltd, Helsinki, 145-148.

1998

• Müller, Ch.H. (1998). Optimum robust testing in linear models. Ann. Statist. 26, 1126-1146.
• Müller, Ch.H. and Pázman, A. (1998). Applications of necessary and sufficient conditions for maximin efficient designs. Metrika, 48, 1-19.
• Müller, Ch.H. (1998). Breakdown points of estimators for aspects of linear models. In MODA 5 - Advances in Model-Oriented Data Analysis and Experimental Design, eds. A.C. Atkinson, L. Pronzato, H.P. Wynn, Physica-Verlag, Heidelberg, 137-144.

1997

• Müller, Ch.H. (1997). L1-tests in linear models: Tests with maximum relative power. In L1-Statistical Procedures and Related Topics, ed. Y. Dodge, IMS Lecture Notes - Monograph Series 31, Hayward, 91-99.
• Müller, Ch.H. (1997). Robust inference and experimental design for multi-factor models. In: Industrial Statistics. Aims and Computational Aspects, eds. C.P. Kitsos, L. Edler, Physica-Verlag, Heidelberg, 165-174.

1996

• Müller, Ch.H. (1996). Diskussionsbeitrag zu den Aufsätzen von Plummer und Clayton sowie von Festing und Lovell. J. Roy. Statist. Soc. Ser. B 58, 148.
• Müller, Ch.H. (1996). Optimal breakdown point maximizing designs. Tatra Mountains Math. Publ. 7, 79-85.
• Müller, Ch.H. (1996). High breakdown point designs. In Robust Statistics, Data Analysis, and Computer Intensive Methods - In Honor of Peter Huber's 60th Birthday, ed. H. Rieder. Lecture Notes in Statistics 109, Springer, New York, 353-360.
• Müller, Ch.H. (1996). Computing high breakdown point estimators for planned experiments and for models with qualitative factors. In COMPSTAT'96, Proceedings in Computational Statistics, ed. A. Prat, Physica-Verlag, 379-384.

1995

• Müller, Ch.H. (1995). Maximin efficient designs for estimating nonlinear aspects in linear models. J. Statist. Plann. Inference. 44, 117-132.
• Müller, Ch.H. (1995). Breakdown points for designed experiments. J. Statist. Plann. Inference. 45, 413-427.
• Müller, Ch.H. (1995). Optimal breakdown point maximizing designs. Metrika42, 244-245.
• Kitsos, C.P. and Müller, Ch.H. (1995). Robust linear calibration. Statistics27, 93-106.
• Kitsos, C.P. and Müller, Ch.H. (1995). Robust estimation of non-linear aspects. In MODA 4 - Advances in Model-Oriented Data Analysis, eds. C.P.Kitsos, W.G. Müller, Physica-Verlag, Heidelberg, 223-233.

1994

• Müller, Ch.H. (1994). Optimal designs for robust estimation in conditionally contaminated linear models. J. Statist. Plann. Inference. 38, 125-140.
• Müller, Ch.H. (1994). One-step-M-estimators in conditionally contaminated linear models. Stat. Decis. 12, 331-342.
• Müller, Ch.H. (1994). Asymptotic behaviour of one-step-M-estimators in contaminated non-linear models. In Asymptotic Statistics, eds. P. Mandl, M. Hušková, Physica-Verlag, Heidelberg, 395-404.
• Müller, Ch.H. (1994). On the calculation of MSE minimizing robust estimators. In COMPSTAT'94, Proceedings in Computational Statistics, eds. R. Dutter, W. Grossmann, Physica-Verlag, Heidelberg, 257-262.
• Müller, Ch.H. (1994). Optimal bias bounds for robust estimation in linear models. In Proceedings of the International Conference on Linear Statistical Inference LINSTAT'93, eds. T. Calinski, R. Kala, Kluwer Academic Publishers, Dordrecht, 97-102.

1993

• Müller, Ch.H. (1993). Behaviour of asymptotically optimal designs for robust estimation at finite sample sizes. In Model-Oriented Data Analysis, eds. W.G. Müller, H.P. Wynn, A.A. Zhigljavsky, Physica-Verlag, Heidelberg, 53-62.

1992

• Kurotschka, V. and Müller, Ch.H. (1992). Optimum robust estimation of linear aspects in conditionally contaminated linear models. Ann. Statist. 20, 331-350.
• Müller, Ch.H. (1992). L1-estimation and testing in conditionally contaminated linear models. In L1-Statistical Analysis and Related Methods, ed. Y. Dodge, North-Holland, Amsterdam, 69-76.
• Müller, Ch.H. (1992). Robust estimation with minimum bias and A-optimal designs. In PROBASTAT'91, Proceedings of the International Conference on Probability and Mathematical Statistics, eds. A. Pázman, J. Volaufová, 109-115.

Öffentlich zugängliche Arbeiten / Publicly Available Papers

2022

• Leckey, K., Heinrich, J., Müller, C.H., and Maurer, R. (2022). Model checks and simultaneous prediction bands for failure models in prestressed concrete beams. SFB 823 Discussion Paper 32/2021.
• Julia Dreier, J., Ferreira, M., Malcherczyk, D., Biermann, D., Müller, C.H., Tillmann, W. (2022). The influence of different diamond spacings in diamond impregnated tools on the wear behavior and material removal. SFB 823 Discussion Paper 34/2021.

2021

• Dreier, J., Hafer, M., Heinrich, J., Leckey, K., Malcherczyk, D., Maurer, R., Müller, C.H. (2021). Körperschallanalyse der Ermüdung von Spannbetonbauteilen. SFB 823 Discussion Paper 29/2021.

Buchbesprechungen / Book Reviews

• Scholz, Ch.H. (1980). Buchbesprechung: Spalt, D.D. (1979). Was ist und was soll die Mathematische Biologie. Wissenschaftliche Buchgesellschaft Darmstadt. Willdenowia 10, 126.
• Müller, Ch.H. (1997). Buchbesprechung: Morgenthaler, St. and Tukey, J.W. (1991). Configural Polysampling: A Route to Practical Robustness. John Wiley, New York. Statistics.
• Müller, Ch.H. (1998). Buchbesprechung: Handbook of Statistics 13. Design and Analysis of Experiments. Eds. S. Ghosh, C.R. Rao. North-Holland, Amsterdam. Mathematical Reviews.
• Müller, Ch.H. (2000). Buchbesprechung: Dodge, Y. and Jurecková (2000). Adaptive Regression. Springer. Metrika.
• Müller, Ch.H. (2007). Buchbesprechung: Lee, Y., Nelder, J.A. and Pawitan, Y. (2006). Chapman & Hall/CRC. Biometrical Journal.

Sonstige Manuskripte / Other Manuscipts

• Müller, Ch.H. (1984). Asymptotisch optimale und robuste M-Schätzungen. Diplomarbeit. Freie Universität Berlin.
• Müller, Ch.H. (1991). Statistik für Biologen. Vorlesungsskript am Fachbereich Mathematik und Informatik der Freien Universität Berlin