Probabilistic Forecasts and Optimal Decisions

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Synopsis
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 dataMini-projects running through multiple chapters to illustrate different stages of the decision-making processEnd 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.
Copyright:
2024

Book Details

Book Quality:
Publisher Quality
ISBN-13:
9781394221875
Related ISBNs:
9781394319060, 9781394221868
Publisher:
Wiley
Date of Addition:
Copyrighted By:
John Wiley & Sons Ltd.
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Nonfiction, Technology
Submitted By:
Bookshare Staff
Usage Restrictions:
This is a copyrighted book.

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