LEADER 03410nam 2200493 450 001 9910270923303321 005 20200120104651.0 010 $a1-119-41770-8 010 $a1-119-41766-X 010 $a1-119-41798-8 035 $a(CKB)4100000000981111 035 $a(MiAaPQ)EBC5334167 035 $a(CaSebORM)9781119417514 035 $a(EXLCZ)994100000000981111 100 $a20180430d2018 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aExperimentation, validation, and uncertainty analysis for engineers /$fby Hugh W. Coleman and W. Glenn Steele 205 $aFourth edition. 210 1$aHoboken, NJ, USA :$cWiley,$d[2018] 210 4$dİ2018 215 $a1 online resource (387 pages) 300 $aFirst edition entitled: Experimentation and uncertainty analysis for engineers. 311 $a1-119-41751-1 320 $aIncludes bibliographical references and index. 330 $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. 606 $aEngineering$xExperiments 606 $aUncertainty 608 $aElectronic books. 615 0$aEngineering$xExperiments. 615 0$aUncertainty. 676 $a620.0072 700 $aColeman$b Hugh W.$012514 702 $aSteele$b W. Glenn 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910270923303321 996 $aExperimentation, validation, and uncertainty analysis for engineers$92201718 997 $aUNINA