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Synopsis
This text presents notions and ideas at the foundations of a statistical treatment of risks. The focus is on statistical applications within the field of engineering risk and safety analysis. Coverage includes Bayesian methods. Such knowledge facilitates the understanding of the influence of random phenomena and gives a deeper understanding of the role of probability in risk analysis. The text is written for students who have studied elementary undergraduate courses in engineering mathematics, perhaps including a minor course in statistics. This book differs from typical textbooks in its verbal approach to many explanations and examples.
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Review
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"This is a textbook for students with basic (undergraduate courses) mathematical knowledge. In the first part, elementary statistical methods are explained including basic ideas of Bayesian inference and point processes. The second part is devoted to probabilistic assessment of risk in engineering problems. ... Each chapter ends with a section on exercises, short solutions are given in appendix." (Daniela Jarušková, Zentralblatt MATH, Vol. 1145, 2008)
Synopsis
This text presents notions and ideas at the foundations of a statistical treatment of risks. Such knowledge facilitates the understanding of the influence of random phenomena and gives a deeper understanding of the possibilities offered by and algorithms found in certain software packages. Since Bayesian methods are frequently used in this field, a reasonable proportion of the presentation is devoted to such techniques. The text is written with a student in mind who has studied elementary undergraduate courses in engineering mathematics, maybe including a minor course in statistics. Despite employment of the style of presentation traditionally found in the mathematics literature (including descriptions like definitions, examples, etc.). "Probability and Risk Analysis" emphasizes an understanding of the theory and methods presented; hence, comments are given verbally and a reasoning is frequent. With respect to the contents (and its presentation), the ambition has not been to write just another new textbook on elementary probability and statistics. There are lots of such books, but instead the focus is on applications within the field of risk and safety analysis.
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- PublisherSpringer
- Publication date2006
- ISBN 10 3540242236
- ISBN 13 9783540242239
- BindingHardcover
- LanguageEnglish
- Number of pages291
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Probability and Risk Analysis
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Springer Berlin Heidelberg, Springer Berlin Heidelberg Aug 2006, 2006
ISBN 10: 3540242236
ISBN 13: 9783540242239
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The purpose of this book is to present concepts in a statistical treatment of risks. Such knowledge facilitates the understanding of the in uence of random phenomena and gives a deeper knowledge of the possibilities o ered by and algorithms found in certain software packages. Since Bayesian methods are frequently used in this eld, a reasonable proportion of the presentation is devoted to such techniques. The text is written with student in mind - a student who has studied - ementary undergraduate courses in engineering mathematics, may be incl- ing a minor course in statistics. Even though we use a style of presentation traditionally found in the math literature (including descriptions like de- itions, examples, etc.), emphasis is put on the understanding of the theory and methods presented; hence reasoning of an informal character is frequent. With respect to the contents (and its presentation), the idea has not been to write another textbook on elementary probability and statistics - there are plenty of such books - but to focus on applications within the eld of risk and safety analysis. Each chapter ends with a section on exercises; short solutions are given in appendix. Especially in the rst chapters, some exercises merely check basic concepts introduced, with no clearly attached application indicated. However, among the collection of exercises as a whole, the ambition has been to present problems of an applied character and to a great extent real data sets have been used when constructing the problems. 292 pp. Englisch. Seller Inventory # 9783540242239
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