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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Zabarankin, Michael (Autor), Uryasev, Stan (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2014.
Edición:1st ed. 2014.
Colección:Springer Optimization and Its Applications, 85
Temas:
Operations research.
Management science.
Probabilities.
Data mining.
Mathematical optimization.
Operations Research, Management Science .
Probability Theory.
Data Mining and Knowledge Discovery.
Optimization.
Operations Research and Decision Theory.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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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