Science of Decision Making: A Problem-Based Introduction Using Excel - Tapa blanda

Acerca del autor

Educated at Princeton and Northwestern Universities, Eric V. Denardo worked for AT&T and The Rand Corporation before joining the faculty of Yale University. His work is noted for its breadth, innovation, and elegance.

De la contraportada

Learn how to model and solve real decision-making problems using Excel.

This book is a practical, accessible, engaging, and deeply penetrating introduction to the science of decision making. It is a successful fusion of problem-based learning and spreadsheet computation with decision science. It surveys the modfels of operations research and of probability.

As you work through the problems within the chapters, you will acquire a potent set of tools for solving problems, and you'll see how to make practical use of them. You will find examples from engineering, economics, finance, operations management, business, medical decision making, and the sciences. You will see how to use the methodology in a variety of academic disciplines and career paths.

Features:

• Problem-based learning enhanced by realistic examples drawn from a broad range of disciplines.
• Depth of understanding, enabled by the marriage of the methods of operations research with spreadsheet computation.
• Breadth of coverage, welding models of probability to those of decision making.
• Self-contained as concerns Excel.
• Useful Add-Ins. A CD-ROM packaged with the text, contains Premium Solver for Education. TreePlan. RiskSim. several useful functions and appropriate data sets.