Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications

Selected Contributions from SimStat 2019 and Invited Papers

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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 26, 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.

Artikeldetails

EAN

9783031400575

Sprache

Englisch

Einband / Art

Taschenbuch

Maße

235 x 155 x 16 mm

Erscheinungsjahr

2024

Verlag / Hersteller

Springer