John X. Wang

What Every Engineer Should Know About Decision Making Under Uncertainty (eBook, PDF)

• Format: PDF

Produktbeschreibung

Covering the prediction of outcomes for engineering decisions through regression analysis, this succinct and practical reference presents statistical reasoning and interpretational techniques to aid in the decision making process when faced with engineering problems. The author emphasizes the use of spreadsheet simulations and decision trees as important tools in the practical application of decision making analyses and models to improve real-world engineering operations. He offers insight into the realities of high-stakes engineering decision making in the investigative and corporate sectors by optimizing engineering decision variables to maximize payoff.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 328
• Erscheinungstermin: 1. Juli 2002
• Englisch
• ISBN-13: 9780203910757
• Artikelnr.: 38155246

Autorenporträt

Wang, John X.

Inhaltsangabe

1. Engineering: Making Hard Decisions under Uncertainty 2. Engineering
Judgment for Discrete Uncertain Variables 3. Decision Analysis Involving
Continuous Uncertain Variables 4. Correlation of Random Variables and
Estimating Confidence 5. Performing Engineering Predictions 6. Engineering
Decision Variables - Analysis and Optimization 7. Project Scheduling and
Budgeting under Uncertainty 8. Process Control - Decisions based on Charts
and Indexes 9. Engineering Decision Making: A New Paradigm