Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications

Beschreibung

This volume presents a selection of articles on statistical modeling and simulation, with a focus on different aspects of statistical estimation and testing problems, the design of experiments, reliability and queueing theory, inventory analysis, and the interplay between statistical inference, machine learning methods and related applications. The refereed contributions originate from the 10th International Workshop on Simulation and Statistics, SimStat 2019, which was held in Salzburg, Austria, September 2–6, 2019, and were either presented at the conference or developed afterwards, relating closely to the topics of the workshop. The book is intended for statisticians and Ph.D. students who seek current developments and applications in the field.
This volume presents a selection of articles on statistical modeling and simulation, with a focus on different aspects of statistical estimation and testing problems, the design of experiments, reliability and queueing theory, inventory analysis, and the interplay between statistical inference, machine learning methods and related applications. The refereed contributions originate from the 10th International Workshop on Simulation and Statistics, SimStat 2019, which was held in Salzburg, Austria, September 2–6, 2019, and were either presented at the conference or developed afterwards, relating closely to the topics of the workshop. The book is intended for statisticians and Ph.D. students who seek current developments and applications in the field.
Presents current developments in statistical modeling and simulation Focuses on experimental design and machine learning applications Features invited contributions

Autor*in

Jürgen Pilz

Themen in »Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications«

Statistical Modeling Stochastic Simulation Statistical Computing Simulation in Statistics Experimental Design Statistical Learning Applications in the Life Sciences Applications in Engineering Reliability and Queueing Theory Inventory Analysis DoE

Stimmen zu »Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications«

Details

Link teilen