Uncertainty Analysis for Engineers and Scientists
Title | Uncertainty Analysis for Engineers and Scientists PDF eBook |
Author | Faith A. Morrison |
Publisher | Cambridge University Press |
Pages | 389 |
Release | 2021-01-07 |
Genre | Computers |
ISBN | 1108478352 |
Build the skills for determining appropriate error limits for quantities that matter with this essential toolkit. Understand how to handle a complete project and how uncertainty enters into various steps. Provides a systematic, worksheet-based process to determine error limits on measured quantities, and all likely sources of uncertainty are explored, measured or estimated. Features instructions on how to carry out error analysis using Excel and MATLAB®, making previously tedious calculations easy. Whether you are new to the sciences or an experienced engineer, this useful resource provides a practical approach to performing error analysis. Suitable as a text for a junior or senior level laboratory course in aerospace, chemical and mechanical engineering, and for professionals.
The Uncertainty Analysis of Model Results
Title | The Uncertainty Analysis of Model Results PDF eBook |
Author | Eduard Hofer |
Publisher | Springer |
Pages | 346 |
Release | 2018-07-01 |
Genre | Mathematics |
ISBN | 9783319762968 |
This book is a practical guide to the uncertainty analysis of computer model applications. Used in many areas, such as engineering, ecology and economics, computer models are subject to various uncertainties at the level of model formulations, parameter values and input data. Naturally, it would be advantageous to know the combined effect of these uncertainties on the model results as well as whether the state of knowledge should be improved in order to reduce the uncertainty of the results most effectively. The book supports decision-makers, model developers and users in their argumentation for an uncertainty analysis and assists them in the interpretation of the analysis results.
Experimentation, Validation, and Uncertainty Analysis for Engineers
Title | Experimentation, Validation, and Uncertainty Analysis for Engineers PDF eBook |
Author | Hugh W. Coleman |
Publisher | John Wiley & Sons |
Pages | 404 |
Release | 2018-04-09 |
Genre | Technology & Engineering |
ISBN | 1119417708 |
Helps engineers and scientists assess and manage uncertainty at all stages of experimentation and validation of simulations Fully updated from its previous edition, Experimentation, Validation, and Uncertainty Analysis for Engineers, Fourth Edition includes expanded coverage and new examples of applying the Monte Carlo Method (MCM) in performing uncertainty analyses. Presenting the current, internationally accepted methodology from ISO, ANSI, and ASME standards for propagating uncertainties using both the MCM and the Taylor Series Method (TSM), it provides a logical approach to experimentation and validation through the application of uncertainty analysis in the planning, design, construction, debugging, execution, data analysis, and reporting phases of experimental and validation programs. It also illustrates how to use a spreadsheet approach to apply the MCM and the TSM, based on the authors’ experience in applying uncertainty analysis in complex, large-scale testing of real engineering systems. Experimentation, Validation, and Uncertainty Analysis for Engineers, Fourth Edition includes examples throughout, contains end of chapter problems, and is accompanied by the authors’ website www.uncertainty-analysis.com. Guides readers through all aspects of experimentation, validation, and uncertainty analysis Emphasizes the use of the Monte Carlo Method in performing uncertainty analysis Includes complete new examples throughout Features workable problems at the end of chapters Experimentation, Validation, and Uncertainty Analysis for Engineers, Fourth Edition is an ideal text and guide for researchers, engineers, and graduate and senior undergraduate students in engineering and science disciplines. Knowledge of the material in this Fourth Edition is a must for those involved in executing or managing experimental programs or validating models and simulations.
Uncertainty
Title | Uncertainty PDF eBook |
Author | Millett Granger Morgan |
Publisher | Cambridge University Press |
Pages | 376 |
Release | 1990-08-31 |
Genre | Psychology |
ISBN | 113993581X |
The authors explain the ways in which uncertainty is an important factor in the problems of risk and policy analysis. This book outlines the source and nature of uncertainty, discusses techniques for obtaining and using expert judgment, and reviews a variety of simple and advanced methods for analyzing uncertainty.
Scaling and Uncertainty Analysis in Ecology
Title | Scaling and Uncertainty Analysis in Ecology PDF eBook |
Author | Jianguo Wu |
Publisher | Springer Science & Business Media |
Pages | 354 |
Release | 2006-07-02 |
Genre | Science |
ISBN | 1402046634 |
This is the first book of its kind – explicitly considering uncertainty and error analysis as an integral part of scaling. The book draws together a series of important case studies to provide a comprehensive review and synthesis of the most recent concepts, theories and methods in scaling and uncertainty analysis. It includes case studies illustrating how scaling and uncertainty analysis are being conducted in ecology and environmental science.
Uncertainty Analysis and Reservoir Modeling
Title | Uncertainty Analysis and Reservoir Modeling PDF eBook |
Author | Y. Zee Ma |
Publisher | AAPG |
Pages | 329 |
Release | 2011-12-20 |
Genre | Science |
ISBN | 0891813780 |
Experimental Uncertainty Analysis: A Textbook for Science and Engineering Students
Title | Experimental Uncertainty Analysis: A Textbook for Science and Engineering Students PDF eBook |
Author | Supreet Singh Bahga |
Publisher | Supreet Singh Bahga |
Pages | 186 |
Release | 2021-07-06 |
Genre | Technology & Engineering |
ISBN | 1636402321 |
Uncertainties are inevitable in any experimental measurement. Therefore, it is essential for science and engineering graduates to design and develop reliable experiments and estimate the uncertainty in the measurements. This book describes the methods and application of uncertainty analysis during the planning, data analysis, and reporting stages of an experiment. This book is aimed at postgraduate and advanced undergraduate students of various branches of science and engineering. The book teaches methods for estimating random and systematic uncertainties and combining them to determine the overall uncertainty in a measurement. In addition, the method for propagating measurement uncertainties in the calculated result is discussed. The book also discusses methods of reducing the uncertainties through proper instrumentation, data acquisition, and experiment planning. This book provides detailed background and assumptions underlying the uncertainty analysis techniques for the reader to understand their applicability. Various solved examples are provided to demonstrate the application of the uncertainty analysis techniques. The exercises at the end of the chapters have been chosen carefully to reinforce the concepts discussed in the text.