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We presented a proof for the classical stable limit laws under use of contraction method in combination with the Zolotarev metric. Furthermore, a stable limit law was proved for scaled sums of growing into sequences. This limit law was alternatively formulated for sequences of random variables defined by a simple degenerate recursion.
The Benchmark Dose (BMD) approach, which was suggested firstly in 1984 by K. Crump [CRUMP (1984)], is a widely used instrument in risk assessment of substances in the environment and in food. In this context, the BMD approach determines a reference point (RfP) on the statistically estimated dose-response curve, for which the risk can be determined with adequate certainty and confidence. In the next step of risk characterization a threshold is calculated, based on this RfP and toxicological considerations. The BMD approach bases upon the fit of a dose-response model on the data. For this fit a stochastic distribution of the response endpoint is taken as a basis. Ultimately, the BMD reflects the dose for which a pre-specified increase in an adverse health effect (the benchmark response) can be expected. Until now, the BMD approach has been specified only for quantal and continuous endpoints. But in risk assessment of carcinogens especially so called time-to-event data are of high interest since they contain more information on the tumor development than quantal incidence data. The goal of this diploma thesis was to extend the BMD approach to such time-to-event data.
This thesis presents the implementation of the online reconstruction, calibration and monitoring of the data of the Transition Radiation Detector of ALICE. This reconstruction is performed on the High Level Trigger, the third level of the ALICE trigger system, and enables online calibration and monitoring of the incoming data. Additionally, the HLT can steer the data storage, such that only physical interesting events are saved. The online reconstruction, as well as the calibration, makes use of the existing offline algorithms. Therefore, interfaces between the HLT and these offline algorithms were implemented. For being able to reach the speed of 2000 Hz in proton-proton collisions, and 200 Hz in leadlead collisions, the algorithms had to be accelerated. Bottlenecks were tracked down using dedicated tools, and respective code was either reimplemented or it is being skipped during the online reconstruction. The quality of the output data was monitored throughout the implementation, to assure that it is not being cut too much.