Overview
Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 259)
Included in the following conference series:
Conference proceedings info: AMMCS 2017.
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Table of contents (57 papers)
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Advances in Mathematical and Statistical Modelling
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Analytical and Computational Methods in Inverse Problems
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Computational Methods and Modelling in Engineering and Mechanics
Other volumes
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Recent Advances in Mathematical and Statistical Methods
Keywords
About this book
This book focuses on the recent development of methodologies and computation methods in mathematical and statistical modelling, computational science and applied mathematics. It emphasizes the development of theories and applications, and promotes interdisciplinary endeavour among mathematicians, statisticians, scientists, engineers and researchers from other disciplines.
The book provides ideas, methods and tools in mathematical and statistical modelling that have been developed for a wide range of research fields, including medical, health sciences, biology, environmental science, engineering, physics and chemistry, finance, economics and social sciences. It presents original results addressing real-world problems.
Editors and Affiliations
Bibliographic Information
Book Title: Recent Advances in Mathematical and Statistical Methods
Book Subtitle: IV AMMCS International Conference, Waterloo, Canada, August 20–25, 2017
Editors: D. Marc Kilgour, Herb Kunze, Roman Makarov, Roderick Melnik, Xu Wang
Series Title: Springer Proceedings in Mathematics & Statistics
DOI: https://doi.org/10.1007/978-3-319-99719-3
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2018
Hardcover ISBN: 978-3-319-99718-6Published: 04 November 2018
Softcover ISBN: 978-3-030-07626-9Published: 20 December 2018
eBook ISBN: 978-3-319-99719-3Published: 04 November 2018
Series ISSN: 2194-1009
Series E-ISSN: 2194-1017
Edition Number: 1
Number of Pages: XIV, 646
Number of Illustrations: 84 b/w illustrations, 128 illustrations in colour
Topics: Computational Science and Engineering, Mathematical Modeling and Industrial Mathematics, Probability Theory and Stochastic Processes, Mathematical and Computational Biology, Mathematics in the Humanities and Social Sciences, Statistics for Life Sciences, Medicine, Health Sciences