Hypothesis-Driven Simulation Studies: Assistance for the Systematic Design and Conducting of Computer Simulation Experiments

Author:   Fabian Lorig
Publisher:   Springer Fachmedien Wiesbaden
Edition:   1st ed. 2019
ISBN:  

9783658275877


Pages:   394
Publication Date:   29 August 2019
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Hypothesis-Driven Simulation Studies: Assistance for the Systematic Design and Conducting of Computer Simulation Experiments


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Overview

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.

Full Product Details

Author:   Fabian Lorig
Publisher:   Springer Fachmedien Wiesbaden
Imprint:   Springer Vieweg
Edition:   1st ed. 2019
Weight:   0.541kg
ISBN:  

9783658275877


ISBN 10:   3658275871
Pages:   394
Publication Date:   29 August 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Foundations and Methods of Simulation.- Assistance and Automation of Simulation.- Requirements Analysis on Hypotheses in Simulation.- Hypothesis-Driven Simulation Studies.- Services for the Assistance of Simulation Studies.- Case Study: Supply Chain Management.

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Author Information

Dr. Fabian Lorig works as research associate at the chair of Business Information Systems I at Trier University, Germany. His research focuses on methodology of computer simulation, design of experiments, automation of simulation studies, distributed artificial intelligence, and agent-based social simulation.

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