| 书目名称 | Probability and Risk Analysis |
| 副标题 | An Introduction for |
| 编辑 | Igor Rychlik,Jesper Rydén |
| 视频video | http://file.papertrans.cn/757/756926/756926.mp4 |
| 概述 | Focuses on statistical applications within the field of engineering risk and safety analysis.Coverage includes Bayesian methods.Statistical treatment of risks for engineering students which requires o |
| 图书封面 |  |
| 描述 | 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. Espec |
| 出版日期 | Textbook 2006 |
| 关键词 | Analysis; Fitting; Random variable; Software; algorithm; best fit; data analysis; mathematics; safety; statis |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-540-39521-8 |
| isbn_softcover | 978-3-642-06346-6 |
| isbn_ebook | 978-3-540-39521-8 |
| copyright | Springer-Verlag Berlin Heidelberg 2006 |
|Archiver|手机版|小黑屋|
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