Overview
- Presents contributions on simulation for mathematical modeling and analysis
- Discusses simulation for stochastic processes
- Includes studies on testing and classification problems in statistics
- Covers simulation for reliability and queueing models
Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 231)
Included in the following conference series:
Conference proceedings info: IWS 2015.
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Table of contents (29 papers)
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Front Matter
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Simulation for Mathematical Modeling and Analysis
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Front Matter
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Simulation for Stochastic Processes and Their Applications
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Front Matter
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Testing and Classification Problems in Statistics
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Front Matter
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Other volumes
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Statistics and Simulation
Keywords
About this book
This volume features original contributions and invited review articles on mathematical statistics, statistical simulation and experimental design. The selected peer-reviewed contributions originate from the 8th International Workshop on Simulation held in Vienna in 2015. The book is intended for mathematical statisticians, Ph.D. students and statisticians working in medicine, engineering, pharmacy, psychology, agriculture and other related fields.
The International Workshops on Simulation are devoted to statistical techniques in stochastic simulation, data collection, design of scientific experiments and studies representing broad areas of interest. The first 6 workshops took place in St. Petersburg, Russia, in 1994 – 2009 and the 7th workshop was held in Rimini, Italy, in 2013.
Editors and Affiliations
About the editors
Viatcheslav Melas is a professor at the Department of Stochastic Simulation at the St. Petersburg State University, Russia. His research areas include experimental design, stochastic simulation and regression analysis, with a focus on functional approaches to optimal experimental design. He was one of the main organizers of the eight International Workshops on Simulation (1994 - 2015).
Karl Moder is head of the Center of Experimental Design at the University of Natural Resources and Life Sciences in Vienna, Austria, where he is also a professor at the Institute of Applied Statistics and Computing. His research areas include experimental design, multivariate statistics, and random number generation.
Jürgen Pilz is a professor and head of the Department of Statistics at the Alpen-Adria University Klagenfurt in Austria. He is the author of seven books and has published more than 150 scientific papers in the areas of Bayesian statistics, spatial statistics, environmental and industrial statistics, statistical quality control and design of experiments. He is an editorial board member of several international statistics journals.
Dieter Rasch works at the Center of Experimental Design at the University of Natural Resources and Life Sciences in Vienna, Austria. His research areas include size of experiments, constructing experimental designs and nonlinear regression. He was head of the Biometric Unit at the Research Centre of Animal Production in Rostock, Germany and a Professor of Mathematical Statistics at the Department of Mathematics at the University Wageningen in the Netherlands. He has published 275 scientific papers and 59 authored and edited books.
Bibliographic Information
Book Title: Statistics and Simulation
Book Subtitle: IWS 8, Vienna, Austria, September 2015
Editors: Jürgen Pilz, Dieter Rasch, Viatcheslav B. Melas, Karl Moder
Series Title: Springer Proceedings in Mathematics & Statistics
DOI: https://doi.org/10.1007/978-3-319-76035-3
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Hardcover ISBN: 978-3-319-76034-6Published: 18 May 2018
Softcover ISBN: 978-3-030-09386-0Published: 14 December 2018
eBook ISBN: 978-3-319-76035-3Published: 17 May 2018
Series ISSN: 2194-1009
Series E-ISSN: 2194-1017
Edition Number: 1
Number of Pages: XVI, 417
Number of Illustrations: 40 b/w illustrations, 33 illustrations in colour
Topics: Statistical Theory and Methods, Statistics and Computing/Statistics Programs, Simulation and Modeling, Statistics for Life Sciences, Medicine, Health Sciences, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences