Descripción:

El libro escrito con símbolos y metáforas, aborda problemas de concepción, modelación, análisis y administración de riesgos en proyectos de inversión

Su autor sostiene “"Intencionalmente he intentado escribir un libro con el menor rigor posible, es decir, evitando las definiciones, convencionalismos y formalidades de un texto académico, procurando describir aquello que subyace en el proceso de aprendizaje, las vivencias y las historias que creamos en nuestro caminar.

Description:

The book written by symbols and metaphors, deals with problems related to conception, modeling, analysis and management of risks in investment projects.

The writer says “I have tried to write a book with less rigor, that is, far away from the definitions, conventions, and formalisms of an academic book. The mean idea was to showcase the stories underlying in the learning process. This is a book with tales. A puzzle that someone will solve by themself. Different approaches to different ways of facing risk.”

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Description:

Decision Support Systems: Frequently Asked Questions is the authoritative reference guide to computerized Decision Support Systems.

Author Dan Power has spent almost 30 years building, studying and teaching others about computerized Decision Support Systems. Dr. Power is first and foremost a Decision Support evangelist and generalist. From his vantage point as editor of DSSResources.COM, he tracks a broad range of contemporary DSS topics.

In this DSS FAQ , Dr. Power answers 83 frequently asked questions about computerized decision support systems. The FAQ covers a broad range of contemporary topics and the questions are organized into 8 chapters. References to Crystal Ball are spread throughout the book.

DSS FAQ helps readers understand questions like:

• What is a DSS?
• What kind of DSS does Mr. X need?
• Does data modeling differ for a Data-Driven DSS?
• Is a Data Warehouse a DSS?
• Is tax preparation software an example of a DSS?
• What do I need to know about Data Warehousing/OLAP?
• What is a cost estimation DSS?
• What is a Spreadsheet-based DSS?

Decision Support Systems: Frequently Asked Questions is a useful resource for IT specialists, students, professors and managers. It organizes important Ask Dan! questions (with answers) published in DSS News from 2000 through 2004.

Details:

Published 2005 by iUniverse, Inc., Copyright 2005; Hard cover; ISBN: 0595670458. Does not include an edition of Crystal Ball.

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Description:

Introduction to Decision Analysis is a practical, step-by-step guide to making better decisions. The book is designed for the practicing manager, technical professional, and decision analyst.

Mr. Skinner provides proven techniques based on solid experience to help face complex, challenging, uncertain, and ambiguous choices. Decision analysis provides a process whereby all parties affected by the decision can be involved and participate in building a win-win solution.

New to the second edition of Mr. Skinner's classic text are: new thinking about uncertainty and ambiguity, Monte Carlo simulation, guides to implementing large projects, "How 2" guides, and full interactive integration with Mr. Skinner's web site. Chapter 9: Using Simulation to Solve Decision Problems discusses the use of Crystal Ball.

Details:

Published April., 1999 by Probabilistic Publishing, Copyright 1999; ISBN: 0964793830. Does not include a edition of Crystal Ball.

Description:

This textbook covers the basic concepts of business statistics, data analysis, and management science in a contemporary spreadsheet environment. Similar to Evans and Olson's Essentials of Business Statistics, this business-school level textbook expands on decision modeling concepts and includes advanced units on system simulation modeling and analysis, selection models and decision analysis, and optimization modeling and solutions.

Each unit of Statistics, Data Analysis, and Decision Modeling features informative questions, problems, real-world cases, and screen shots. Two units are dedicated to random variables, probability distributions, and Monte Carlo simulation. The authors discuss Crystal Ball, CB Predictor, OptQuest, and the Decision Table tool apply them to solve business-based decision analysis problems.

Details:

Published July 15, 2002 by Prentice Hall, Copyright 2003; Paperback with CD-ROM; ISBN: 0130675539. Includes Student Edition of Crystal Ball 2000 Professional (v5.2).

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Description:

Executives routinely make major decisions in the face of high uncertainty – indeed, managing risk and uncertainty is one of the key functions of any senior manager. Techniques for estimating the probabilities of various scenarios (and the impact of those scenarios) have existed for years. Yet many of the men and women in executive positions do not understand how to use the results of these analyses appropriately.

This book supplies that understanding in language that non-statisticians can understand. The emphasis is on the practical; real-life examples run throughout the book. Topics covered include why major projects are so often late and over budget, when to spend money on new information (and when not to), the benefits of a risk-neutral approach, psychological weaknesses humans have when dealing with uncertainty, tools to use and traps to avoid, and much more.

Several statistical tools, including Monte Carlo simulation and decision trees, are described in general in the book, with examples of the insights that such tools can provide to executive decision makers.

Details:

Published September 15, 2006 by Probabilistic Publishing, Copyright 2006, 208 pages; ISBN: 0964793857. Does not include an Edition of Crystal Ball software.