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Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications - Selected Contributions from SimStat 2019 and Invited Papers (1st ed. 2023)
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Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications - Selected Contributions from SimStat 2019 and Invited Papers (1st ed. 2023)
Series: Contributions to Statistics
Expected to ship within 10 - 15 working days
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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.
General
| Imprint: |
Springer International Publishing AG
|
| Country of origin: |
Switzerland |
| Series: |
Contributions to Statistics |
| Release date: |
October 2023 |
| First published: |
2023 |
| Editors: |
Jürgen Pilz
• Viatcheslav B. Melas
• Arne Bathke
|
| Dimensions: |
235 x 155mm (L x W) |
| Pages: |
265 |
| Edition: |
1st ed. 2023 |
| ISBN-13: |
978-3-03-140054-4 |
| Categories: |
Books
Promotions
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| LSN: |
3-03-140054-2 |
| Barcode: |
9783031400544 |
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