Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications

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  • Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications Book Detail

  • Author : Jürgen Pilz
  • Release Date : 2023-11-20
  • Publisher : Springer Nature
  • Genre : Mathematics
  • Pages : 265
  • ISBN 13 : 3031400550
  • File Size : 2,2 MB

Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications by Jürgen Pilz PDF Summary

Book 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. 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.

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Simulation Modeling and Analysis

Simulation Modeling and Analysis

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This fully-revised book has the most comprehensive and up-to-date coverage of all aspects of a simulation study. Equally well suited for use in university cours