Decision Systems and Nonstochastic Randomness

Decision Systems and Nonstochastic Randomness by V. I. Ivanenko.

“Decision Systems and Nonstochastic Randomness” presents the first mathematical formalization of the statistical regularities of non-stochastic randomness and demonstrates how these regularities extend the standard probability-based model of decision making under uncertainty, allowing for the descri...

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Bibliographic Details
Main Author: Ivanenko, V. I. (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 2010.
Edition:1st ed. 2010.
Series:Springer eBook Collection.
Subjects:
Probabilities.
Applied mathematics.
Engineering mathematics.
Business mathematics.
Statistics .
Game theory.
Operations research.
Decision making.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • Decision Systems
  • Indifferent Uncertainty
  • Nonstochastic Randomness
  • General Decision Problems
  • Experiment in Decision Problems
  • Informativity of Experiment in Bayesian Decision Problems
  • Reducibility of Experiments in Multistep Decision Problems
  • Concluding Remarks.

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