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Titlebook: Hypothesis-Driven Simulation Studies; Assistance for the S Fabian Lorig Book 2019 Springer Fachmedien Wiesbaden GmbH, part of Springer Natu

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發(fā)表于 2025-3-21 16:10:31 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Hypothesis-Driven Simulation Studies
副標題Assistance for the S
編輯Fabian Lorig
視頻videohttp://file.papertrans.cn/431/430802/430802.mp4
概述A Study in Simulation Methodologies
圖書封面Titlebook: Hypothesis-Driven Simulation Studies; Assistance for the S Fabian Lorig Book 2019 Springer Fachmedien Wiesbaden GmbH, part of Springer Natu
描述.Fabian Lorig develops a procedure model for hypothesis-driven simulation studies which supports the design, conducting, and analysis of simulation experiments. It is aimed at facilitating the execution of simulation studies with regard to the replicability and reproducibility of the results. In comparison to existing models, this approach is based on a formally specified hypothesis. Each step of the simulation study can be adapted to the central hypothesis and performed in such a way that it can optimally contribute to the verification and thus to the confirmation or rejection of the hypothesis..
出版日期Book 2019
關(guān)鍵詞Hypothesis-Driven Simulation Studies; Automation of Simulation; Hypothesis Testing; Simulation Studies;
版次1
doihttps://doi.org/10.1007/978-3-658-27588-4
isbn_softcover978-3-658-27587-7
isbn_ebook978-3-658-27588-4
copyrightSpringer Fachmedien Wiesbaden GmbH, part of Springer Nature 2019
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https://doi.org/10.1007/978-3-642-56533-5ystems. Some shortcomings of conventional approaches include limited access, exposure to risk, or the non-existence of the investigated system as well as economic reasons such as the cost-benefit ratio (Banks, 2014).
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Book 2019periments. It is aimed at facilitating the execution of simulation studies with regard to the replicability and reproducibility of the results. In comparison to existing models, this approach is based on a formally specified hypothesis. Each step of the simulation study can be adapted to the central
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Introductionystems. Some shortcomings of conventional approaches include limited access, exposure to risk, or the non-existence of the investigated system as well as economic reasons such as the cost-benefit ratio (Banks, 2014).
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Foundations and Methods of Simulationr of science between induction and deduction (Axelrod, 1997). It is used amongst various disciplines and no longer limited to natural or information sciences such as information systems research (Hudert et al., 2010).
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