【应用概率与统计】 Uncertainty Quantification : Theory, Implementation, and App

相似文件 换一批

是 否 +2 论坛币

k人 参与回答

经管之家送您一份

应届毕业生专属福利!

求职就业群

赵安豆老师微信：zhaoandou666

经管之家联合CDA

送您一个全额奖学金名额~ !

立即领取

感谢您参与论坛问题回答

经管之家送您两个论坛币！

+2 论坛币

Uncertainty Quantification: Theory, Implementation, and Applications

Ralph C. Smith



The field of uncertainty quantification is evolving rapidly because of increasing emphasis on models that require quantified uncertainties for large-scale applications, novel algorithm development, and new computational architectures that facilitate implementation of these algorithms. Uncertainty Quantification: Theory, Implementation, and Applications provides readers with the basic concepts, theory, and algorithms necessary to quantify input and response uncertainties for simulation models arising in a broad range of disciplines.

The book begins with a detailed discussion of applications where uncertainty quantification is critical for both scientific understanding and policy. It then covers concepts from probability and statistics, parameter selection techniques, frequentist and Bayesian model calibration, propagation of uncertainties, quantification of model discrepancy, surrogate model construction, and local and global sensitivity analysis. The author maintains a complementary web page where readers can find data used in the exercises and other supplementary material.

Uncertainty Quantification: Theory, Implementation, and Applications includes

• a large number of definitions and examples that use a suite of relatively simple models to illustrate concepts;
numerous references to current and open research issues;
• exercises that illustrate basic concepts and guide readers through the numerical implementation of algorithms for prototypical problems;
• a wide range of applications, including weather and climate models, subsurface hydrology and geology models, nuclear power plant design, and models for biological phenomena; and
• recent advances and topics that have appeared in the research literature within the last 15 years, including aspects of Bayesian model calibration, surrogate model development, parameter techniques, and global sensitivity analysis.

本帖隐藏的内容

高清扫描版 PDF：
Uncertainty Quantification_Theory, Implementation, and Applications.pdf (78.65 MB, 需要: 15 个论坛币)

2017-1-11 11:35:04 上传

需要: 15 个论坛币  [购买]

PDF 压缩包：
Uncertainty Quantification_Theory, Implementation, and Applications.zip (77.78 MB, 需要: 15 个论坛币) 本附件包括：

• Uncertainty Quantification_Theory, Implementation, and Applications.pdf

2017-1-11 11:33:25 上传

需要: 15 个论坛币  [购买]

  如果你喜欢我分享的书籍，请关注我：
https://bbs.pinggu.org/z_guanzhu.php?action=add&fuid=5975757

订阅我的文库：

【金融 + 经济 + 商学 + 国际政治】
https://bbs.pinggu.org/forum.php?mod=collection&action=view&ctid=3257

【数学 + 统计 + 计算机编程】
https://bbs.pinggu.org/forum.php?mod=collection&action=view&ctid=3258

【历史 + 心理学 + 社会自然科学】
https://bbs.pinggu.org/forum.php?mod=collection&action=view&ctid=3259

扫码加我 拉你入群

请注明：姓名-公司-职位

以便审核进群资格，未注明则拒绝

分享0 收藏13 回帖

关键词：uncertainty Implementa implement Uncertain certainty concepts emphasis provides because readers

清两位看能否拉三女拉绿大数据

Thanks

这种情况常见

谢谢谢谢