Sensitivity analysis
著者
書誌事項
Sensitivity analysis
(Wiley paperback series)
John Wiley & Sons, 2008
- : pbk
大学図書館所蔵 全5件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
"This paperback edition first published 2008"--T.p. verso
Includes bibliographical references (p. [427]-447) and index
内容説明・目次
内容説明
The Wiley Paperback Series makes valuable content more accessible to a new generation of statisticians, mathematicians and scientists. Sensitivity analysis is used to ascertain how a given model output depends upon the input parameters. This is an important method for checking the quality of a given model, as well as a powerful tool for checking the robustness and reliability of its analysis. The topic is acknowledged as essential for good modelling practice and is an implicit part of any modelling field.
Offers an accessible introduction to sensitivity analysis.
Covers all the latest research.
Illustrates concepts with numerous examples, applications and case studies.
Includes contributions from the leading researchers active in developing strategies for sensitivity analysis.
The principles of sensitivity analysis are carefully described and suitable methods for approaching many types of problems are given. The book introduces the modeller to the entire casual assessment chain, from data to predictions, whilst explaining the impact of source uncertainties and framing assumptions. A 'hitch-hikers guide' is included to allow the more experienced reader to readily access specific applications.
Modellers from a wide range of disciplines, including biostatistics, economics, environmental impact assessment, chemistry and engineering will benefit greatly from the numerous examples and applications.
"Presents many different sensitivity analysis methodologies and demonstrates their usefulness in scientific research." (Zentralblatt MATH)
目次
What is Sensitivity Analysis.
Hitchhiker's Guide to Sensitivity Analysis.
METHODS.
Designs of Experiments.
Screening Methods.
Local Methods.
Sampling-Based Methods.
Reliability Algorithms: FORM and SORM Methods.
Variance-Based Methods.
Managing the Tyranny of Parameters in Mathematical Modelling of Physical Systems.
Bayesian Sensitivity Analysis.
Graphical Methods.
APPLICATIONS.
Practical Experience in Applying Sensitivity and Uncertainty Analysis.
Scenario and Parametric Sensitivity and Uncertainty Analysis in Nuclear Waste Disposal Risk Assessment: The Case of GESAMAC.
Sensitivity Analysis for Signal Extraction in Economic Time Series.
A Dataless Precalibration Analysis in Solid State Physics.
Appplication of First-Order (FORM) and Second-Order (SORM) Reliability Methods: Analysis and Interpretation of Sensitivity Measures Related to Groundwater Pressure Decreases and Resulting Ground Subsidence.
One-at-a-Time and Mini-Global Analyses for Characterizing Model Sensitivity in the Nonlinear Ozone Predictions from the US EPA Regional Acid Deposition Model (RADM).
Comparing Different Sensitivity Analysis Methods on a Chemical Reactions Model.
An Application of Sensitivity Analysis to Fish Population Dynamics.
Global Sensitivity Analysis: A Quality Assurance Tool in Environmental Policy Modelling.
CONCLUSIONS.
Assuring the Quality of Models Designed for Predictive Tasks.
Fortune and Future of Sensitivity Analysis.
References.
Appendix.
Index.
「Nielsen BookData」 より