Experimentation, validation, and uncertainty analysis for engineers [4th ed.]
By: Coleman, Hugh W.
Contributor(s): Steele, W. Glenn.
Publisher: New Jersey Wiley 2018Edition: 4th ed.Description: xvi, 368p.ISBN: 9781119417514.Subject(s): Engineering -- Experiments | Uncertainty | Experimental designDDC classification: 620.0072 | C677e4 Summary: 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.Item type | Current location | Collection | Call number | Status | Date due | Barcode | Item holds |
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Books | PK Kelkar Library, IIT Kanpur | General Stacks | 620.0072 C677e4 (Browse shelf) | Checked out to Avadhesh Kumar Tiwari (S23101061200) | 03/10/2024 | A185572 |
Browsing PK Kelkar Library, IIT Kanpur Shelves , Collection code: General Stacks Close shelf browser
620.0072 AL53I INTRODUCTION TO ENGINEERING STATISTICS AND SIX SIGMA | 620.0072 B432r4 Random data | 620.0072 B959S STATISTICAL DISTRIBUTIONS IN ENGINEERING | 620.0072 C677e4 Experimentation, validation, and uncertainty analysis for engineers [4th ed.] | 620.0072 G862 CREATIVITY AND INNOVATION IN ENGINEERING | 620.0072 G862 CREATIVITY AND INNOVATION IN ENGINEERING | 620.0072 Oc3a APPLIED PROBABILITY & STOCHASTIC PROCESSES |
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.
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