Springer Statistical Modeling and Simulation - SimStat 2019

Explore advanced research in statistical modeling and simulation with this collection from Springer. This volume gathers selected contributions from the 10th International Workshop on Simulation and Statistics (SimStat 2019), held in Salzburg, Austria. It provides a deep look into statistical estimation, testing problems, and the design of experiments. Readers can find detailed studies on reliability, queueing theory, and inventory analysis. The text covers the relationship between statistical inference and machine learning methods, making it a valuable resource for those studying AI and machine learning applications. Whether you are looking for conference papers or expanded research developed after the workshop, this book offers a comprehensive overview of current developments in the field of statistics and simulation.