Probabilistic Forecasts and Optimal Decisions
eBook - PDF

Probabilistic Forecasts and Optimal Decisions

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Probabilistic Forecasts and Optimal Decisions

About this book

Account for uncertainties and optimize decision-making with this thorough exposition

Decision theory is a body of thought and research seeking to apply a mathematical-logical framework to assessing probability and optimizing decision-making. It has developed robust tools for addressing all major challenges to decision making. Yet the number of variables and uncertainties affecting each decision outcome, many of them beyond the decider's control, mean that decision-making is far from a 'solved problem'. The tools created by decision theory remain to be refined and applied to decisions in which uncertainties are prominent.

Probabilistic Forecasts and Optimal Decisions introduces a theoretically-grounded methodology for optimizing decision-making under conditions of uncertainty. Beginning with an overview of the basic elements of probability theory and methods for modeling continuous variates, it proceeds to survey the mathematics of both continuous and discrete models, supporting each with key examples. The result is a crucial window into the complex but enormously rewarding world of decision theory.

Readers of Probablistic Forecasts and Optimal Decisions will also find:

  • Extended case studies supported with real-world data
  • Mini-projects running through multiple chapters to illustrate different stages of the decision-making process
  • End of chapter exercises designed to facilitate student learning

Probabilistic Forecasts and Optimal Decisions is ideal for advanced undergraduate and graduate students in the sciences and engineering, as well as predictive analytics and decision analytics professionals.

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Yes, you can access Probabilistic Forecasts and Optimal Decisions by Roman Krzysztofowicz in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Industrial Engineering. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Contents
  5. Preface
  6. About the Companion Website
  7. Chapter 1 Forecast–Decision Theory
  8. Part I Elements of Probability
  9. Part II Discrete Models
  10. Part III Continuous Models
  11. A Rationality Postulates
  12. B Parameter Estimation Methods
  13. C Special Univariate Distributions
  14. The Greek Alphabet
  15. References
  16. Index
  17. EULA