000			02600 a2200253 4500
003			OSt
005			20220204131802.0
008			220204b xxu||||| |||| 00| 0 eng d
020			_a9781119417514
040			_cIIT Kanpur
041			_aeng
082			_a620.0072 _bC677e4
100			_aColeman, Hugh W.
245			_aExperimentation, validation, and uncertainty analysis for engineers [4th ed.] _cHugh W. Coleman and W. Glenn Steele
250			_a4th ed.
260			_bWiley _c2018 _aNew Jersey
300			_axvi, 368p
520			_aHelps 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.
650			_aEngineering -- Experiments
650			_aUncertainty
650			_aExperimental design
700			_aSteele, W. Glenn
942			_cBK
999			_c565335 _d565335