TY - JOUR A1 - Dikta, Gerhard A1 - Hausmann, Rolf A1 - Schmidt, Christian T1 - Some Simulation Results under Random Censorship Models Y1 - 2002 N1 - gesehen 18.06.2007 SP - 1 EP - 12 ER - TY - JOUR A1 - Dikta, Gerhard A1 - Kurtz, B. A1 - Stute, W. T1 - Sequential Fixed-Width Confidence Bands for Distribution Functions Under Random Censoring JF - Metrika. 36 (1989) Y1 - 1989 SN - 0026-1335 SP - 167 EP - 176 ER - TY - JOUR A1 - Dikta, Gerhard A1 - Kvesic, Marsel A1 - Schmidt, Christian T1 - Bootstrap Approximations in Model Checks for Binary Data JF - Journal of the American Statistical Association. 101 (2006), H. 474 Y1 - 2006 SN - 0162-1459 SP - 521 EP - 530 ER - TY - JOUR A1 - Dikta, Gerhard A1 - Kühlheim, René A1 - Mendonca, Jorge A1 - Una-Alcarez, Jacobo de T1 - Asymptotic representation of presmoothed Kaplan–Meier integrals with covariates in a semiparametric censorship model JF - Journal of Statistical Planning and Inference Y1 - 2015 U6 - https://doi.org/10.1016/j.jspi.2015.12.001 SN - 0378-3758 VL - Vol. 171 SP - 10 EP - 37 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Dikta, Gerhard A1 - Reißel, Martin A1 - Harlaß, Carsten T1 - Semi-parametric survival function estimators deduced from an identifying Volterra type integral equation JF - Journal of multivariate analysis N2 - Based on an identifying Volterra type integral equation for randomly right censored observations from a lifetime distribution function F, we solve the corresponding estimating equation by an explicit and implicit Euler scheme. While the first approach results in some known estimators, the second one produces new semi-parametric and pre-smoothed Kaplan–Meier estimators which are real distribution functions rather than sub-distribution functions as the former ones are. This property of the new estimators is particular useful if one wants to estimate the expected lifetime restricted to the support of the observation time. Specifically, we focus on estimation under the semi-parametric random censorship model (SRCM), that is, a random censorship model where the conditional expectation of the censoring indicator given the observation belongs to a parametric family. We show that some estimated linear functionals which are based on the new semi-parametric estimator are strong consistent, asymptotically normal, and efficient under SRCM. In a small simulation study, the performance of the new estimator is illustrated under moderate sample sizes. Finally, we apply the new estimator to a well-known real dataset. KW - Volterra integral equation KW - Product-integration KW - Asymptotic efficiency KW - Semi-parametric random censorship model KW - Censored data KW - Survival analysis Y1 - 2016 U6 - https://doi.org/10.1016/j.jmva.2016.02.008 IS - 147 SP - 273 EP - 284 PB - Elsevier CY - Amsterdam ER - TY - BOOK A1 - Dikta, Gerhard A1 - Scheer, Marsel T1 - Bootstrap Methods: With Applications in R N2 - This book provides a compact introduction to the bootstrap method. In addition to classical results on point estimation and test theory, multivariate linear regression models and generalized linear models are covered in detail. Special attention is given to the use of bootstrap procedures to perform goodness-of-fit tests to validate model or distributional assumptions. In some cases, new methods are presented here for the first time. The text is motivated by practical examples and the implementations of the corresponding algorithms are always given directly in R in a comprehensible form. Overall, R is given great importance throughout. Each chapter includes a section of exercises and, for the more mathematically inclined readers, concludes with rigorous proofs. The intended audience is graduate students who already have a prior knowledge of probability theory and mathematical statistics. Y1 - 2021 SN - 978-3-030-73480-0 U6 - https://doi.org/10.1007/978-3-030-73480-0 PB - Springer CY - Cham ER - TY - JOUR A1 - Dikta, Gerhard A1 - Subramanian, Sundarraman T1 - Inverse censoring weighted median regression / Sundarraman Subramanian and Gerhard Dikta JF - Statistical Methodology. 6 (2009), H. 6 Y1 - 2009 SN - 1572-3127 SP - 594 EP - 603 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Dilthey, Ulrich A1 - Brandenburg, Annette A1 - Schleser, Markus T1 - Dispensing and application of unfilled adhesives in the micro range JF - Welding and cutting. 3 (2004), H. 4 Y1 - 2004 SN - 1612-3433 SP - 250 EP - 254 ER - TY - CHAP A1 - Dilthey, Ulrich A1 - Mund, F. A1 - Raupach, Michael A1 - Schleser, Markus A1 - Walk-Lauffer, Bernd T1 - Improvement of textile reinforced concrete by polymer additives T2 - ICPIC '04 : 11th International Congress on Polymers in Concrete : 2nd-4th June, 2004 at BAM, Berlin, Germany : proceedings / ed. by M. Maultzsch Y1 - 2004 SN - 3-00-013706-8 SP - 469 EP - 476 PB - BAM CY - Berlin ER - TY - CHAP A1 - Dilthey, Ulrich A1 - Schleser, Markus ED - Barroso de Aguiar, Jose ED - Jalali, Said ED - Camoes, Aires ED - Ferrera, Rui Miguel T1 - Composite improvement of textile reinforced concrete by polymeric impregnation of the textiles T2 - International Symposium Polymers in Concrete : proceedings of ISPIC 2006, 2-4 April 2006 - University of Minho - Guimarães, Portugal Y1 - 2006 SN - 972-99179-1-4 SP - 185 EP - 192 PB - Universidade do Minho, Departamento de Engenharia Civil CY - Guimarães ER - TY - CHAP A1 - Dilthey, Ulrich A1 - Schleser, Markus A1 - Chudoba, Rostislav A1 - Konrad, Martin ED - Triantafillou, T. C. T1 - Experimental investigation and micro-mechanical simulaltion of concrete reinforced with epoxy impregnated fabrics T2 - Fibre-reinforced polymer reinforcement for concrete structures : proceedings of the 8th international conference : Patras, Greece, July 16- 18, 2007 Y1 - 2007 SN - 9608969107 SP - 456 EP - 457 PB - Univ. CY - Patras ER - TY - JOUR A1 - Dilthey, Ulrich A1 - Schleser, Markus A1 - Feldmann, Martin A1 - Pak, Daniel A1 - Geßler, Achim T1 - Investigation of punctiform, plane and hybrid joints of textile-reinforced concrete parts JF - Cement and concrete composites Y1 - 2008 SN - 0958-9465 VL - Vol. 30 IS - iss. 2 SP - 82 EP - 87 ER - TY - CHAP A1 - Dilthey, Ulrich A1 - Schleser, Markus A1 - Hegger, Josef A1 - Voss, Stefan ED - Reinhardt, Hans W. T1 - Load-bearing behaviour of polymer-impregnated textiles in concrete T2 - Fifth International Workshop on High Performance Fiber Reinforced Cement Composites (HPFRCC 5) : Mainz, July 10 - 13, 2007. (RILEM proceedings. 53) Y1 - 2007 SN - 978-2-35158-046-2 SP - 183 EP - 192 PB - RILEM Publ. CY - Bagneux ER - TY - CHAP A1 - Dilthey, Ulrich A1 - Schleser, Markus A1 - Möller, M. A1 - Weichhold, O. ED - Hegger, Josef T1 - Application of polymers in textile reinforced concrete : from the interface to construction elements T2 - Textile reinforced concrete : proceedings of the 1. International RILEM Conference, held at the RWTH Aachen, September 6/7, 2006. (RILEM proceedings ; 50) Y1 - 2006 SN - 2-912143-97-7 SP - 55 EP - 64 PB - RILEM Publ. CY - Bagneux ER - TY - CHAP A1 - Dilthey, Ulrich A1 - Schleser, Markus A1 - Puterman, Moshe T1 - Investigation and improvement of concrete reinforced with epoxy impregnated fabrics T2 - Proceedings / 12th International Congress Polymers in Concrete, ICPIC 07, chuncheon, Korea, Sept. 26. - 28., 2007 Y1 - 2007 SN - 978-89-9600450-9 SP - 725 EP - 733 PB - Kangwoon National Univ. CY - Chancheon ER - TY - CHAP A1 - Dinghofer, Kai A1 - Hartung, Frank T1 - Analysis of Criteria for the Selection of Machine Learning Frameworks T2 - 2020 International Conference on Computing, Networking and Communications (ICNC) N2 - With the many achievements of Machine Learning in the past years, it is likely that the sub-area of Deep Learning will continue to deliver major technological breakthroughs [1]. In order to achieve best results, it is important to know the various different Deep Learning frameworks and their respective properties. This paper provides a comparative overview of some of the most popular frameworks. First, the comparison methods and criteria are introduced and described with a focus on computer vision applications: Features and Uses are examined by evaluating papers and articles, Adoption and Popularity is determined by analyzing a data science study. Then, the frameworks TensorFlow, Keras, PyTorch and Caffe are compared based on the previously described criteria to highlight properties and differences. Advantages and disadvantages are compared, enabling researchers and developers to choose a framework according to their specific needs. Y1 - 2020 U6 - https://doi.org/10.1109/ICNC47757.2020.9049650 N1 - 2020 International Conference on Computing, Networking and Communications (ICNC), 17-20 February 2020, Big Island, HI, USA SP - 373 EP - 377 PB - IEEE CY - New York, NY ER - TY - JOUR A1 - Dittus, H. A1 - Turyshev, S. G. A1 - Dachwald, Bernd A1 - Blome, Hans-Joachim T1 - A Mission to Explore the Pioneer Anomaly JF - Proceedings of the 39th ESLAB Symposium "Trends in Space Science and Cosmic Vision 2020" : 19 - 21 April 2005, ESTEC, Noordwijk, the Netherlands / European Space Agency. [Comp. by: F. Favata ...] . - (ESA SP ; 588) Y1 - 2005 SN - 9290928999 N1 - ISBN der CD-ROM-Ausg.: 9290928999 ; Symposium Trends in Space Science and Cosmic Vision 2020 <2005, Noordwijk> ; ESLAB symposium <39,2005, Noordwijk> ; European Space Laboratory ; Report Number: LA-UR-05-4907 ; The Pioneer Explorer Collaboration SP - 3 EP - 10 PB - ESA Publ. Div. CY - Noordwijk ER - TY - JOUR A1 - Ditzhaus, Marc A1 - Gaigall, Daniel T1 - A consistent goodness-of-fit test for huge dimensional and functional data JF - Journal of Nonparametric Statistics N2 - A nonparametric goodness-of-fit test for random variables with values in a separable Hilbert space is investigated. To verify the null hypothesis that the data come from a specific distribution, an integral type test based on a Cramér-von-Mises statistic is suggested. The convergence in distribution of the test statistic under the null hypothesis is proved and the test's consistency is concluded. Moreover, properties under local alternatives are discussed. Applications are given for data of huge but finite dimension and for functional data in infinite dimensional spaces. A general approach enables the treatment of incomplete data. In simulation studies the test competes with alternative proposals. KW - Cramér-von-Mises statistic KW - separable Hilbert space KW - huge dimensional data KW - functional data Y1 - 2018 U6 - https://doi.org/10.1080/10485252.2018.1486402 SN - 1029-0311 VL - 30 IS - 4 SP - 834 EP - 859 PB - Taylor & Francis CY - Abingdon ER - TY - JOUR A1 - Ditzhaus, Marc A1 - Gaigall, Daniel T1 - Testing marginal homogeneity in Hilbert spaces with applications to stock market returns JF - Test N2 - This paper considers a paired data framework and discusses the question of marginal homogeneity of bivariate high-dimensional or functional data. The related testing problem can be endowed into a more general setting for paired random variables taking values in a general Hilbert space. To address this problem, a Cramér–von-Mises type test statistic is applied and a bootstrap procedure is suggested to obtain critical values and finally a consistent test. The desired properties of a bootstrap test can be derived that are asymptotic exactness under the null hypothesis and consistency under alternatives. Simulations show the quality of the test in the finite sample case. A possible application is the comparison of two possibly dependent stock market returns based on functional data. The approach is demonstrated based on historical data for different stock market indices. Y1 - 2022 U6 - https://doi.org/10.1007/s11749-022-00802-5 SN - 1863-8260 VL - 2022 IS - 31 SP - 749 EP - 770 PB - Springer ER - TY - JOUR A1 - Dobbertin, Matthias A1 - Eilmann, Britta A1 - Bleuler, Peter A1 - Giuggiola, Arnaud A1 - Graf Pannatier, Elisabeth A1 - Landolt, Werner A1 - Schleppi, Patrick A1 - Rigling, Andreas T1 - Effect of irrigation on needle morphology, shoot and stem growth in a drought-exposed Pinus sylvestris forest JF - Tree Physiology N2 - In Valais, Switzerland, Scots pines (Pinus sylvestris L.) are declining, mainly following drought. To assess the impact of drought on tree growth and survival, an irrigation experiment was initiated in 2003 in a mature pine forest, approximately doubling the annual precipitation. Tree crown transparency (lack of foliage) and leaf area index (LAI) were annually assessed. Seven irrigated and six control trees were felled in 2006, and needles, stem discs and branches were taken for growth analysis. Irrigation in 2004 and 2005, both with below-average precipitation, increased needle size, area and mass, stem growth and, with a 1-year delay, shoot length. This led to a relative decrease in tree crown transparency (−14%) and to an increase in stand LAI (+20%). Irrigation increased needle length by 70%, shoot length by 100% and ring width by 120%, regardless of crown transparency. Crown transparency correlated positively with mean needle size, shoot length and ring width and negatively with specific leaf area. Trees with high crown transparency (low growth, short needles) experienced similar increases in needle mass and growth with irrigation than trees with low transparency (high growth, long needles), indicating that seemingly declining trees were able to ‘recover’ when water supply became sufficient. A simple drought index before and during the irrigation explained most of the variation found in the parameters for both irrigated and control trees. Y1 - 2010 U6 - https://doi.org/10.1093/treephys/tpp123 SN - 1758-4469 (Online) SN - 0829-318X (Print) VL - 30 IS - 3 SP - 346 EP - 360 PB - Oxford University Press CY - Oxford ER -