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Mathematical models of information and stochastic systems /

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From ancient soothsayers and astrologists to today's pollsters and economists, probability theory has long been used to predict the future on the basis of past and present knowledge. Mathematical Models of Information and Stochastic Systems shows that the amount of knowledge about a system play...

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Bibliographic Details
Main Author: Kornreich, Philipp
Corporate Author: Taylor & Francis
Format: eBook
Language:English
Language Notes:English.
Published: Boca Raton, FL : CRC Press, ©2008.
Subjects:
Stochastic systems > Mathematical models.
System analysis > Mathematical models.
Systèmes stochastiques > Modèles mathématiques.
Analyse de systèmes > Modèles mathématiques.
SCIENCE > System Theory.
TECHNOLOGY & ENGINEERING > Operations Research.
Stochastic systems > Mathematical models
System analysis > Mathematical models
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Ch. 1. Introduction
  • ch. 2. Events and density of events
  • ch. 3. Joint, conditional, and total probabilities
  • ch. 4. Random variables and functions of random variables
  • ch. 5. Conditional distribution functions and a special case : the sum of two random variables
  • ch. 6. Average values, moments, and correlations of random variables and of functions of random variables
  • ch. 7. Randomness and average randomness
  • ch. 8. Most random systems
  • ch. 9. Information
  • ch. 10. Random processes
  • ch. 11. Spectral densities
  • ch. 12. Data analysis
  • ch. 13. Chaotic systems.