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Diskussion von „Journal-Rankings und Karriere im Fach Statistik an wirtschaftwissenschaftlichen Fakultäten“ von Ulrich Rendtel
Müller, Christine H. - In: Wirtschafts- und sozialstatistisches Archiv : ASTA ; … 13 (2019) 2, pp. 149-151
Persistent link: https://www.econbiz.de/10012304391
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Location-scale depth
Mizera, Ivan; Müller, Christine H. - In: Journal of the American Statistical Association : JASA 99 (2004) 468, pp. 949-966
Persistent link: https://www.econbiz.de/10002506551
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Comparison of high-breakdown-point estimators for image denoising
Müller, Christine H. - In: Allgemeines statistisches Archiv : AStA ; journal of … 86 (2002) 3, pp. 307-321
Persistent link: https://www.econbiz.de/10001760032
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Interview mit Christine Müller
Müller, Christine H. (interviewee);  … - In: Wirtschafts- und sozialstatistisches Archiv : ASTA ; … 14 (2020) 2, pp. 207-213
Persistent link: https://www.econbiz.de/10012304405
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Statistik zwischen Data Science, Artificial Intelligence und Big Data : Beiträge aus dem Kolloquium „Make Statistics great again“
Rendtel, Ulrich; Seidel, Willi; Müller, Christine H.; … - In: Wirtschafts- und sozialstatistisches Archiv : eine … 16 (2022) 2, pp. 97-147
Persistent link: https://www.econbiz.de/10013402019
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The density of the parameter estimators when the observations are distributed exponentially
Pázman, Andrej - In: Metrika : international journal for theoretical and … 44 (1996) 1, pp. 9-26
Persistent link: https://www.econbiz.de/10001204429
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Nonlinear statistical models
Pázman, Andrej - 1993
Persistent link: https://www.econbiz.de/10004158359
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A Dirac-function method for densities of nonlinear statistics and for marginal densities in nonlinear regression
Pázman, A.; Pronzato, L. - In: Statistics & Probability Letters 26 (1996) 2, pp. 159-167
We consider new approximations for the marginal density of parameter estimates in nonlinear regression, and more generally for the density of any smooth scalar function G(y) with y normally distributed. These approximations are derived via a Dirac-function technique.
Persistent link: https://www.econbiz.de/10005254782
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Robust estimators for estimating discontinuous functions
Müller, Christine H. - In: Metrika : international journal for theoretical and … 55 (2002) 1/2, pp. 99-109
Persistent link: https://www.econbiz.de/10001673574
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Approximation - Some properties and improvements of the saddlepoint approximation in nonlinear regression
Pázman, Andrej - In: Annals of the Institute of Statistical Mathematics : AISM 51 (1999) 3, pp. 463-478
Persistent link: https://www.econbiz.de/10006572375