Decisions Under Uncertainty: Probabilistic Analysis for Engineering Decisions

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Cambridge University Press, 7 d’abr. 2005 - 672 pàgines
To better understand the core concepts of probability and to see how they affect real-world decisions about design and system performance, engineers and scientists might want to ask themselves the following questions: What exactly is meant by probability? What is the precise definition of the 100-year load and how is it calculated? What is an "extremal" probability distribution? What is the Bayesian approach? How is utility defined? How do games fit into probability theory? What is entropy? How do I apply these ideas in risk analysis? Starting from the most basic assumptions, this book develops a coherent theory of probability and broadens it into applications in decision theory, design, and risk analysis. This book is written for engineers and scientists interested in probability and risk. It can be used by undergraduates, graduate students, or practicing engineers.
 

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Continguts

Probability distributions expectation and prevision
90
4
145
The concept of utility
162
67
256
Entropy
272
Characteristic functions transformed and limiting distributions
317
203
373
Exchangeability and inference
378
10
512
12
613
Common probability distributions
620
Mathematical aspects
637
Answers and comments on exercises
643
References
650
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