Zobrazeno 1 - 10
of 114
pro vyhledávání: '"Christine H. Müller"'
Publikováno v:
Advances in Materials Science and Engineering, Vol 2016 (2016)
The aim is the prediction of the failure time of prestressed concrete beams under low cyclic load. Since the experiments last long for low load, accelerated failure tests with higher load are conducted. However, the accelerated tests are expensive so
Externí odkaz:
https://doaj.org/article/da52be79b8b84df7b636a211ee3e34bf
Autor:
Melanie Horn, Christine H. Müller
Publikováno v:
Journal of Statistical Computation and Simulation. 93:1169-1191
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55fa0787c7d3abd3798da079578a07b7
https://doi.org/10.1080/00949655.2022.2130922
https://doi.org/10.1080/00949655.2022.2130922
Publikováno v:
Statistical Papers. 64:857-882
Up to now, powerful outlier robust tests for linear models are based on M-estimators and are quite complicated. On the other hand, the simple robust classical sign test usually provides very bad power for certain alternatives. We present a generaliza
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::085026234ca5d16a749c19b793bc7b0f
https://doi.org/10.1007/s00362-022-01337-5
https://doi.org/10.1007/s00362-022-01337-5
Autor:
Christine H. Müller, Renate Meyer
Publikováno v:
IEEE Transactions on Reliability. 71:539-554
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a31eb0f7c99b08a1c632de41ce36a03
https://doi.org/10.1109/tr.2022.3140483
https://doi.org/10.1109/tr.2022.3140483
Autor:
Christine H. Müller, Kirsten Schorning
Publikováno v:
Statistical Papers.
We consider two models for estimating the expected states of nodes in networks where the observations at nodes are given by random states and measurement errors. In the first model, we assume independent successive observations at the nodes and the d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f17cd2b90d294cb5f6c561a7b92d120
https://doi.org/10.1007/s00362-023-01435-y
https://doi.org/10.1007/s00362-023-01435-y
Publikováno v:
Journal of Statistical Planning and Inference. 215:344-355
The K -sign depth ( K -depth) of a model parameter θ in a data set is the relative number of K -tuples among its residual vector that have alternating signs. The K -depth test based on K -depth, recently proposed by Leckey et al. (2020), is equivale
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0566d7ce7129bfb2d6f36c1cb9dd42ba
https://doi.org/10.1016/j.jspi.2021.04.006
https://doi.org/10.1016/j.jspi.2021.04.006
Publikováno v:
Bauingenieur. 96:92-101
An einer Spannbetonbrücke wurden systematische Rissbildungen mit Rissbreiten bis zu 0,5 mm im Bereich der Momentennullpunkte aus ständigen Lasten festgestellt. Diese waren eine Folge der seinerzeit nicht berücksichtigten Zwangsschnittgrößen info
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec7124740cc7bea099aab85edc8e15ac
https://doi.org/10.37544/0005-6650-2021-03-60
https://doi.org/10.37544/0005-6650-2021-03-60
Publikováno v:
Quality and Reliability Engineering International. 36:2639-2659
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16e39f6b9c4a895e0228b6c249a00d02
https://doi.org/10.1002/qre.2689
https://doi.org/10.1002/qre.2689
Publikováno v:
Artificial Intelligence, Big Data and Data Science in Statistics ISBN: 9783031071546
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7a30bea9efad9a59564fc802b759bab
https://doi.org/10.1007/978-3-031-07155-3_12
https://doi.org/10.1007/978-3-031-07155-3_12
Autor:
Christine H. Müller
Publikováno v:
Technische Universität Dortmund
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38c30dc99be002be28e9361361974f84
https://doi.org/10.7151/dmps.1046
https://doi.org/10.7151/dmps.1046