Editors:
- Shows recent advances in stochastic modeling, statistical inference and their applications
- Discusses applications in engineering, industry and natural sciences
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 122)
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Table of contents (54 papers)
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Front Matter
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Theory and Related Topics
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Front Matter
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About this book
This volume presents the latest advances and trends in stochastic models and related statistical procedures. Selected peer-reviewed contributions focus on statistical inference, quality control, change-point analysis and detection, empirical processes, time series analysis, survival analysis and reliability, statistics for stochastic processes, big data in technology and the sciences, statistical genetics, experiment design, and stochastic models in engineering.
Stochastic models and related statistical procedures play an important part in furthering our understanding of the challenging problems currently arising in areas of application such as the natural sciences, information technology, engineering, image analysis, genetics, energy and finance, to name but a few.
This collection arises from the 12th Workshop on Stochastic Models, Statistics and Their Applications, Wroclaw, Poland.
Editors and Affiliations
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Institute of Statistics, RWTH Aachen University, Aachen, Germany
Ansgar Steland
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Dept. of Computer Engineering, Control and Robotics, Wrocław University of Technology, Wrocław, Poland
Ewaryst Rafajłowicz
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Inst. of Mathematics and Computer Science, Wrocław University of Technology, Wrocław, Poland
Krzysztof Szajowski
Bibliographic Information
Book Title: Stochastic Models, Statistics and Their Applications
Book Subtitle: Wrocław, Poland, February 2015
Editors: Ansgar Steland, Ewaryst Rafajłowicz, Krzysztof Szajowski
Series Title: Springer Proceedings in Mathematics & Statistics
DOI: https://doi.org/10.1007/978-3-319-13881-7
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-13880-0Published: 09 March 2015
Softcover ISBN: 978-3-319-36618-0Published: 22 October 2016
eBook ISBN: 978-3-319-13881-7Published: 04 February 2015
Series ISSN: 2194-1009
Series E-ISSN: 2194-1017
Edition Number: 1
Number of Pages: XX, 492
Number of Illustrations: 28 b/w illustrations, 37 illustrations in colour
Topics: Statistical Theory and Methods, Probability Theory and Stochastic Processes, Probability and Statistics in Computer Science, Statistics for Life Sciences, Medicine, Health Sciences, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences