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Statistical Decision Problems Selected Concepts and Portfolio Safeguard Case Studies

Statistical Decision Problems presents a quick and concise introduction into the theory of risk, deviation and error measures that play a key role in statistical decision problems. It introduces state-of-the-art practical decision making through twenty-one case studies from real-life applications. T...

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Bibliographic Details
Main Authors: Zabarankin, Michael, Uryasev, Stan (Author)
Format: eBook
Language:English
Published: New York, NY Springer New York 2014, 2014
Edition:1st ed. 2014
Series:Springer Optimization and Its Applications
Subjects:
Operations Research, Management Science
Operations Research
Optimization
Management Science
Data Mining
Probability Theory
Data Mining And Knowledge Discovery
Mathematical Optimization
Operations Research And Decision Theory
Probabilities
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • 1. Random Variables
  • 2. Deviation, Risk, and Error Measures
  • 3. Probabilistic Inequalities
  • 4. Maximum Likelihood Method
  • 5. Entropy Maximization
  • 6. Regression Models
  • 7. Classification
  • 8. Statistical Decision Models with Risk and Deviation
  • 9. Portfolio Safeguard Case Studies
  • Index
  • References

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