@article{ButenwegHeuerWenk2015,
  author    = {Butenweg, Christoph and Heuer, R. and Wenk, T.},
  title     = {Erdbebeningenieurwesen und Baudynamik},
  series = {Bauingenieur},
  volume    = {90},
  journal   = {Bauingenieur},
  number    = {10},
  publisher = {VDI Fachmedien},
  address   = {D{\"u}sseldorf},
  issn      = {00056650},
  pages     = {S1},
  year      = {2015},
  language  = {de}
}
@article{BaringhausGaigall2015,
  author    = {Baringhaus, Ludwig and Gaigall, Daniel},
  title     = {On an independence test approach to the goodness-of-fit problem},
  series = {Journal of Multivariate Analysis},
  volume    = {2015},
  journal   = {Journal of Multivariate Analysis},
  number    = {140},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {0047-259X},
  doi       = {10.1016/j.jmva.2015.05.013},
  pages     = {193 -- 208},
  year      = {2015},
  abstract  = {Let X₁,…,Xₙ be independent and identically distributed random variables with distribution F. Assuming that there are measurable functions f:R²→R and g:R²→R characterizing a family F of distributions on the Borel sets of R in the way that the random variables f(X₁,X₂),g(X₁,X₂) are independent, if and only if F∈F, we propose to treat the testing problem H:F∈F,K:F∉F by applying a consistent nonparametric independence test to the bivariate sample variables (f(Xᵢ,Xⱼ),g(Xᵢ,Xⱼ)),1⩽i,j⩽n,i≠j. A parametric bootstrap procedure needed to get critical values is shown to work. The consistency of the test is discussed. The power performance of the procedure is compared with that of the classical tests of Kolmogorov-Smirnov and Cram{\´e}r-von Mises in the special cases where F is the family of gamma distributions or the family of inverse Gaussian distributions.},
  language  = {en}
}
@article{Czarnecki2015,
  author    = {Czarnecki, Christian},
  title     = {Moderne Telekommunikationsprodukte erfordern standardisierte Gesch{\"a}ftsprozesse},
  series = {Wirtschaft und Wissenschaft},
  journal   = {Wirtschaft und Wissenschaft},
  number    = {2},
  publisher = {Deutsche Telekom AG. Fachhochschule Leipzig},
  address   = {Leipzig},
  pages     = {7 -- 7},
  year      = {2015},
  language  = {de}
}
@article{GollandEngling2015,
  author    = {Golland, Alexander and Engling, Christoph},
  title     = {Offene und geschlossene WLAN: Rechtliche H{\"u}rden bei Betrieb eines {\"o}ffentlichen Internetzugangs},
  series = {DSB Datenschutz-Berater},
  volume    = {39},
  journal   = {DSB Datenschutz-Berater},
  number    = {5},
  publisher = {Beck},
  address   = {G{\"u}tersloh},
  issn      = {0170-7256},
  pages     = {102 -- 103},
  year      = {2015},
  language  = {de}
}
@article{PoettgenEdererAltherretal.2015,
  author    = {P{\"o}ttgen, Philipp and Ederer, Thorsten and Altherr, Lena and Pelz, Peter F.},
  title     = {Developing a control strategy for booster stations under uncertain load},
  series = {Applied Mechanics and Materials},
  volume    = {807},
  journal   = {Applied Mechanics and Materials},
  number    = {807},
  publisher = {Trans Tech Publications},
  address   = {B{\"a}ch},
  isbn      = {1662-7482},
  doi       = {10.4028/www.scientific.net/AMM.807.241},
  pages     = {241 -- 246},
  year      = {2015},
  abstract  = {Booster stations can fulfill a varying pressure demand with high energy-efficiency, because individual pumps can be deactivated at smaller loads. Although this is a seemingly simple approach, it is not easy to decide precisely when to activate or deactivate pumps. Contemporary activation controls derive the switching points from the current volume flow through the system. However, it is not measured directly for various reasons. Instead, the controller estimates the flow based on other system properties. This causes further uncertainty for the switching decision. In this paper, we present a method to find a robust, yet energy-efficient activation strategy.},
  language  = {en}
}
@article{AltherrEdererPoettgenetal.2015,
  author    = {Altherr, Lena and Ederer, Thorsten and P{\"o}ttgen, Philipp and Lorenz, Ulf and Pelz, Peter F.},
  title     = {Multicriterial optimization of technical systems considering multiple load and availability scenarios},
  series = {Applied Mechanics and Materials},
  volume    = {807},
  journal   = {Applied Mechanics and Materials},
  editor    = {Pelz, Peter F. and Groche, Peter},
  isbn      = {1660-9336},
  doi       = {10.4028/www.scientific.net/AMM.807.247},
  pages     = {247 -- 256},
  year      = {2015},
  abstract  = {Cheap does not imply cost-effective -- this is rule number one of zeitgeisty system design. The initial investment accounts only for a small portion of the lifecycle costs of a technical system. In fluid systems, about ninety percent of the total costs are caused by other factors like power consumption and maintenance. With modern optimization methods, it is already possible to plan an optimal technical system considering multiple objectives. In this paper, we focus on an often neglected contribution to the lifecycle costs: downtime costs due to spontaneous failures. Consequently, availability becomes an issue.},
  language  = {en}
}
@article{PoettgenEdererAltherretal.2015,
  author    = {P{\"o}ttgen, Philipp and Ederer, Thorsten and Altherr, Lena and Lorenz, Ulf and Pelz, Peter F.},
  title     = {Examination and optimization of a heating circuit for energy-efficient buildings},
  series = {Energy Technology},
  volume    = {4},
  journal   = {Energy Technology},
  number    = {1},
  publisher = {WILEY-VCH Verlag},
  address   = {Weinheim},
  isbn      = {2194-4296},
  doi       = {10.1002/ente.201500252},
  pages     = {136 -- 144},
  year      = {2015},
  abstract  = {The conference center darmstadtium in Darmstadt is a prominent example of energy efficient buildings. Its heating system consists of different source and consumer circuits connected by a Zortstr{\"o}m reservoir. Our goal was to reduce the energy costs of the system as much as possible. Therefore, we analyzed its supply circuits. The first step towards optimization is a complete examination of the system: 1) Compilation of an object list for the system, 2) collection of the characteristic curves of the components, and 3) measurement of the load profiles of the heat and volume-flow demand. Instead of modifying the system manually and testing the solution by simulation, the second step was the creation of a global optimization program. The objective was to minimize the total energy costs for one year. We compare two different topologies and show opportunities for significant savings.},
  language  = {en}
}
@article{KlettkeHomburgGell2015,
  author    = {Klettke, Tanja and Homburg, Carsten and Gell, Sebastian},
  title     = {How to measure analyst forecast effort},
  series = {European Accounting Review},
  volume    = {24},
  journal   = {European Accounting Review},
  number    = {1},
  publisher = {Taylor \& Francis},
  address   = {London},
  issn      = {0963-8180},
  doi       = {10.1080/09638180.2014.909291},
  pages     = {129 -- 146},
  year      = {2015},
  abstract  = {We introduce a new way to measure the forecast effort that analysts devote to their earnings forecasts by measuring the analyst's general effort for all covered firms. While the commonly applied effort measure is based on analyst behaviour for one firm, our measure considers analyst behaviour for all covered firms. Our general effort measure captures additional information about analyst effort and thus can identify accurate forecasts. We emphasise the importance of investigating analyst behaviour in a larger context and argue that analysts who generally devote substantial forecast effort are also likely to devote substantial effort to a specific firm, even if this effort might not be captured by a firm-specific measure. Empirical results reveal that analysts who devote higher general forecast effort issue more accurate forecasts. Additional investigations show that analysts' career prospects improve with higher general forecast effort. Our measure improves on existing methods as it has higher explanatory power regarding differences in forecast accuracy than the commonly applied effort measure. Additionally, it can address research questions that cannot be examined with a firm-specific measure. It provides a simple but comprehensive way to identify accurate analysts.},
  language  = {en}
}
@article{HagerHentschkeHojdisetal.2015,
  author    = {Hager, Jonathan and Hentschke, Reinhard and Hojdis, Nils and Karimi-Varzaneh, Hossein Ali},
  title     = {Computer Simulation of Particle-Particle Interaction in a Model Polymer Nanocomposite},
  series = {Macromolecules},
  volume    = {48},
  journal   = {Macromolecules},
  number    = {24},
  issn      = {1520-5835},
  doi       = {10.1021/acs.macromol.5b01864},
  pages     = {9039 -- 9049},
  year      = {2015},
  language  = {en}
}
@article{Pietsch2015,
  author    = {Pietsch, Wolfram},
  title     = {Augmenting voice of the customer analysis by analysis of belief},
  series = {QFD-Forum},
  journal   = {QFD-Forum},
  number    = {30},
  issn      = {1431-6951},
  pages     = {1 -- 5},
  year      = {2015},
  language  = {en}
}