Skip to content
Account Login Winnipeg Toll-Free: 1-800-561-1833 SK Toll-Free: 1-877-506-7456 Contact & Locations

parsed(2024-09-23) - pubdate: 2024-09-23
turn:
pub date: 1727067600
today: 1713762000, pubdate > today = true

nyp: 1;

Probabilistic Forecasts and Optimal Decisions

September 23, 2024 | Hardcover
ISBN: 9781394221868
$161.50
We will confirm the estimated shipping time with you when we process your order.
Checking Availibility...

This title will be released on Sep 23, 2024. Pre-order now.

Description

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.

Probabilistic Forecasts and Optimal Decisions readers 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.

We're sorry, but this item is not eligible for a Reader Reward discount.

About this Author

Roman Krzysztofowicz, PhD, is Professor of Systems Engineering in the School of Engineering and Applied Science and Professor of Statistics in the College and Graduate School of Arts and Sciences at the University of Virginia, Charlottesville, USA. He has previously held faculty posts at the University of Arizona and MIT, and his Bayesian Forecast-Decision Theory supplies a unified framework for the design and analysis of probabilistic forecast systems coupled with optimal decision systems.

ISBN: 9781394221868
Format: Hardcover
Pages: 576
Publisher: Wiley, Wiley
Published: 2024-09-23

If the product is in stock at the store nearest you, we suggest you call ahead to have it set aside for you, or you may place an order online and choose in-store pickup.