.png){kind=icon}
返回
Sensitivity analysis using probability bounding
.png){kind=icon}
PRE
AI
DOI：10.1016/j.ress.2005.11.052.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Probability bounds analysis (PBA) provides analysts a convenient means to characterize the neighborhood of possible results that would be obtained from plausible alternative inputs in probabilistic calculations. We show the relationship between PBA and the methods of interval analysis and probabilistic uncertainty analysis from which it is jointly derived, and indicate how the method can be used to assess the quality of probabilistic models such as those developed in Monte Carlo simulations for risk analyses. We also illustrate how a sensitivity analysis can be conducted within a PBA by pinching inputs to precise distributions or real values. (c) 2005 Elsevier Ltd. All rights reserved.
Keyword:
probability bounds analysis
interval analysis
second-order probability
sensitivity analysis
convolution
robust Bayes
Bayesian sensitivity analysis
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
R
IF:
11
论文数:
9.0K
被引数:
4.2W
机构
暂无机构信息
引用论文
AN INVESTIGATION OF UNCERTAINTY AND SENSITIVITY ANALYSIS TECHNIQUES FOR COMPUTER-MODELS.png)
RISK ANALYSIS
RISK ANALYSISIF3.3
PREAI
分享收藏PROPAGATION OF UNCERTAINTY IN RISK ASSESSMENTS - THE NEED TO DISTINGUISH BETWEEN UNCERTAINTY DUE TO LACK OF KNOWLEDGE AND UNCERTAINTY DUE TO VARIABILITY风险评估中不确定性的传播-需要区分由于缺乏知识引起的不确定性和由于可变性引起的不确定性RISK ANALYSIS
RISK ANALYSISIF3.3
PREAI
分享收藏Introduction to special section on sensitivity analysis and summary of NCSU/USDA workshop on sensitivity analysisRISK ANALYSIS
RISK ANALYSISIF3.3
PREAI
分享收藏
查看更多内容