Hypothesis Driven Simulation Studies

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Hypothesis-Driven Simulation Studies

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.
Principles of Data Science

This book provides readers with a thorough understanding of various research areas within the field of data science. The book introduces readers to various techniques for data acquisition, extraction, and cleaning, data summarizing and modeling, data analysis and communication techniques, data science tools, deep learning, and various data science applications. Researchers can extract and conclude various future ideas and topics that could result in potential publications or thesis. Furthermore, this book contributes to Data Scientists’ preparation and to enhancing their knowledge of the field. The book provides a rich collection of manuscripts in highly regarded data science topics, edited by professors with long experience in the field of data science. Introduces various techniques, methods, and algorithms adopted by Data Science experts Provides a detailed explanation of data science perceptions, reinforced by practical examples Presents a road map of future trends suitable for innovative data science research and practice
Simulation Tools and Techniques

This book constitutes the refereed post-conference proceedings of the 16th EAI International Conference on Simulation Tools and Techniques, SIMUTools 2024, held in Bratislava, Slovakia, in December 2024. The 26 full papers included in this book were carefully reviewed and selected from 63 submissions. They were organized in topical sections as follows: simulation tools and methods, traffic simulations, logistics and manufacturing, robotics simulations, applications of simulations, and network simulations.