The book "Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications" offers a comprehensive collection of articles that focus on statistical modeling and simulation. It emphasizes various aspects of statistical estimation and testing problems, experimental design, as well as reliability and queueing theory. Additionally, it addresses the interaction between statistical inference and machine learning methods. The contributions come from the 10th International Workshop on Simulation and Statistics, SimStat 2019, and were either presented during the conference or developed afterward. This academic book is aimed at statisticians and graduate students who wish to stay informed about current developments and applications in this field.
topic | Mathematics & Natural Sciences |
Author | Arne Bathke, Jürgen Pilz, Viatcheslav B. Melas |
Book cover | Paperback |
Year | 2024 |
Item number | 57164603 |
Publisher | Springer |
Category | Reference books |
Release date | 27.3.2025 |
topic | Mathematics & Natural Sciences |
Author | Arne Bathke, Jürgen Pilz, Viatcheslav B. Melas |
Year | 2024 |
Book cover | Paperback |
Year | 2024 |
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