TY - JOUR A1 - Gaigall, Daniel T1 - Testing marginal homogeneity of a continuous bivariate distribution with possibly incomplete paired data JF - Metrika N2 - We discuss the testing problem of homogeneity of the marginal distributions of a continuous bivariate distribution based on a paired sample with possibly missing components (missing completely at random). Applying the well-known two-sample Crámer–von-Mises distance to the remaining data, we determine the limiting null distribution of our test statistic in this situation. It is seen that a new resampling approach is appropriate for the approximation of the unknown null distribution. We prove that the resulting test asymptotically reaches the significance level and is consistent. Properties of the test under local alternatives are pointed out as well. Simulations investigate the quality of the approximation and the power of the new approach in the finite sample case. As an illustration we apply the test to real data sets. KW - Marginal homogeneity test KW - Crámer–von-Mises distance KW - Paired sample KW - Incomplete data KW - Resampling test Y1 - 2019 U6 - https://doi.org/10.1007/s00184-019-00742-5 SN - 1435-926X VL - 2020 IS - 83 SP - 437 EP - 465 PB - Springer ER - TY - JOUR A1 - Gaigall, Daniel T1 - Hoeffding-Blum-Kiefer-Rosenblatt independence test statistic on partly not identically distributed data JF - Communications in Statistics - Theory and Methods N2 - The established Hoeffding-Blum-Kiefer-Rosenblatt independence test statistic is investigated for partly not identically distributed data. Surprisingly, it turns out that the statistic has the well-known distribution-free limiting null distribution of the classical criterion under standard regularity conditions. An application is testing goodness-of-fit for the regression function in a non parametric random effects meta-regression model, where the consistency is obtained as well. Simulations investigate size and power of the approach for small and moderate sample sizes. A real data example based on clinical trials illustrates how the test can be used in applications. KW - Brownian Pillow KW - Hoeffding-Blum-Kiefer-Rosenblatt independence test KW - not identically distributed KW - random effects meta-regression model Y1 - 2020 U6 - https://doi.org/10.1080/03610926.2020.1805767 SN - 1532-415X VL - 51 IS - 12 SP - 4006 EP - 4028 PB - Taylor & Francis CY - London ER - TY - JOUR A1 - Gazda, Quentin A1 - Maurischat, Andreas T1 - Special functions and Gauss-Thakur sums in higher rank and dimension Y1 - 2020 PB - De Gruyter CY - Berlin ER - TY - JOUR A1 - Gerhards, Michael A1 - Sander, Volker A1 - Zivkovic, Miroslav A1 - Belloum, Adam A1 - Bubak, Marian T1 - New approach to allocation planning of many‐task workflows on clouds JF - Concurrency and Computation: Practice and Experience N2 - Experience has shown that a priori created static resource allocation plans are vulnerable to runtime deviations and hence often become uneconomic or highly exceed a predefined soft deadline. The assumption of constant task execution times during allocation planning is even more unlikely in a cloud environment where virtualized resources vary in performance. Revising the initially created resource allocation plan at runtime allows the scheduler to react on deviations between planning and execution. Such an adaptive rescheduling of a many-task application workflow is only feasible, when the planning time can be handled efficiently at runtime. In this paper, we present the static low-complexity resource allocation planning algorithm (LCP) applicable to efficiently schedule many-task scientific application workflows on cloud resources of different capabilities. The benefits of the presented algorithm are benchmarked against alternative approaches. The benchmark results show that LCP is not only able to compete against higher complexity algorithms in terms of planned costs and planned makespan but also outperforms them significantly by magnitudes of 2 to 160 in terms of required planning time. Hence, LCP is superior in terms of practical usability where low planning time is essential such as in our targeted online rescheduling scenario. Y1 - 2020 U6 - https://doi.org/10.1002/cpe.5404 SN - 1532-0634 VL - 32 IS - 2 Article e5404 SP - 1 EP - 16 PB - Wiley CY - Chichester ER - TY - JOUR A1 - Golland, Alexander T1 - Datenschutzrechtliche Anforderungen an internationale Datentransfers JF - NJW - Neue Juristische Wochenschrift Y1 - 2020 SN - 0341-1915 N1 - Zugleich Anmerkung zu EuGH, Urteil vom 16.7.2020 (C-311/18) VL - 2020 IS - 36 SP - 2593 EP - 2596 PB - Beck CY - München ER - TY - JOUR A1 - Golland, Alexander T1 - EDPB: Europäische Aufsichtsbehörden mit neuen Guidelines zur datenschutzkonformen Einwilligung JF - DSB Datenschutz-Berater Y1 - 2020 SN - 0170-7256 VL - 44 IS - 6 SP - 151 EP - 153 PB - DFV Mediengruppe CY - Frankfurt a.M. ER - TY - JOUR A1 - Golland, Alexander T1 - Verantwortlichkeit, Data Breach, das Ende von Fax & E-Mail: Aufsichtsbehörden mit streitbaren Thesen JF - DSB Datenschutz-Berater Y1 - 2020 SN - 0170-7256 VL - 44 IS - 4 SP - 98 EP - 100 PB - DFV Mediengruppe CY - Frankfurt a.M. ER - TY - JOUR A1 - Golland, Alexander T1 - Datenschutzrechtliche Fragen personalisierter Preise — Herausforderungen von Algorithmen im Schnittbereich von Ethik, Ökonomie und Datenschutz JF - CR Computer und Recht Y1 - 2020 SN - 2194-4172 U6 - https://doi.org/10.9785/cr-2020-360313 VL - 36 IS - 3 SP - 186 EP - 194 PB - Verlag Dr. Otto Schmidt CY - Köln ER - TY - JOUR A1 - Golland, Alexander ED - Hoeren, Thomas ED - Schneider, Jochen ED - Selmayr, Martin ED - Spies, Axel ED - Wybitul, Tim T1 - Die „private“ Datenverarbeitung im Internet. Verantwortlichkeiten und Rechtmäßigkeit bei Nutzung von Plattformdiensten durch natürliche Personen JF - ZD Zeitschrift für Datenschutz Y1 - 2020 SN - 2192-5593 VL - 10 IS - 8 SP - 397 EP - 403 PB - Beck CY - München ER - TY - JOUR A1 - Golland, Alexander T1 - Weckruf für deutsche Großunternehmen? – Der neue Entwurf des IT-Sicherheitsgesetz 2.0 JF - K&R Kommunikation & Recht Y1 - 2020 SN - 1434-6354 VL - 23 IS - 7-8 SP - I PB - DFV Mediengruppe CY - Frankfurt a.M. ER -