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dc.contributor.authorAydınlı, Gökhanen_US
dc.contributor.authorHärdle, Wolfgang Karlen_US
dc.contributor.authorNeuwirth, E.en_US
dc.description.abstractThe use of electronic spreadsheets as the primary software tool for teaching management science modeling techniques and quantitative methods in economics and finance undoubtedly played a key role in the increasing impact of quantitative lectures given in graduate programs. Researchers suggest that the ability to extract data from various sources and embed analytical decision models within larger systems are two of the most valuable skills for business students entering today?s IT dominated workplace. In this paper we will try to contribute to this evolution and furthermore want to argue in favor of spreadsheet applications as appropriate interface solution to matrix oriented statistical languages. We present two software solutions which are aimed to combine statistical method servers and the spreadsheet application Excel. We will emphasize the productivity gain in terms of transparency and reproducibility available by combining the computational power of a statistical programming environment with the direct manipulation facilities available in spreadsheet programs like Excel. We also want to stimulate the discussion of securing the communication in such a client/server environment.en_US
dc.relation.ispartofseriesDiscussion papers of interdisciplinary research project 373 2003,26en_US
dc.subject.keywordStatistics in education and practiceen_US
dc.subject.keywordClient / Server based statistical Computingen_US
dc.subject.stwStatistische Methodenlehreen_US
dc.titleComputational Statistics with Spreadsheets Towards Efficiency, Reproducibility and Securityen_US
dc.typeWorking Paperen_US
Appears in Collections:Discussion Papers, SFB 373, HU Berlin

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