A Private Torrent Community Built for Speed & Reliability!
https://www.Torrenting.com

Krzysztofowicz R. Probabilistic Forecasts and Optimal Decisions 2025

Download!Download this torrent!

Krzysztofowicz R. Probabilistic Forecasts and Optimal Decisions 2025

To start this P2P download, you have to install a BitTorrent client like qBittorrent

Category: Other
Total size: 11.93 MB
Added: 2025-03-10 23:39:07

Share ratio: 19 seeders, 2 leechers
Info Hash: 5F81E75BFAA8F97F124FCF2715333ADB58F0711D
Last updated: 12.6 hours ago

Description:

Textbook in PDF format 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, meaning 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 Probabilistic Forecasts and Optimal Decisions will also find: Extended case studies supported with real-world data. Mini-projects run 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