Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications
Selected Contributions from SimStat 2019 and Invited Papers
Description
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.
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