Authors:
- Comprised of new results concerning mathematical formalization of non-stochastic mass events
- Can serve as a comprehensive intro to the theory of statistical regularities, introducing techniques and applications
- Presents a unique systems approach to decision making and decision theory with insights into the general decision and Bayesian problems
- Includes an appendix of classical results in the theory of functions and measured sets
- Includes supplementary material: sn.pub/extras
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Table of contents (9 chapters)
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Front Matter
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Back Matter
About this book
Authors and Affiliations
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Kyiv Polytechnic Institute, Kyiv, Ukraine
V. I. Ivanenko
Bibliographic Information
Book Title: Decision Systems and Nonstochastic Randomness
Authors: V. I. Ivanenko
DOI: https://doi.org/10.1007/978-1-4419-5548-7
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media, LLC 2010
Hardcover ISBN: 978-1-4419-5547-0
Softcover ISBN: 978-1-4899-8496-8
eBook ISBN: 978-1-4419-5548-7
Edition Number: 1
Number of Pages: XII, 272
Topics: Probability Theory and Stochastic Processes, Applications of Mathematics, Business Mathematics, Statistical Theory and Methods, Game Theory, Economics, Social and Behav. Sciences, Operations Research/Decision Theory