Experimentation, Validation, and Uncertainty Analysis for Engineers, Third Edition provides a thorough description of techniques for greater sophistication and verifiability to engineering experiments from early stages through debugging, execution, data analysis, and reporting phases. New material includes direct Monte Carlo (MC) simulation, incorporation of the new approach to determining the random uncertainty of a result in steady state testing, plus a new chapter on “Verification and Validation of Simulation Results.” Practicing engineers (Mechanical, Chemical, Electrical, Materials, Industrial), as well as engineering students in upper–level undergraduate and graduate curriculums, will benefit greatly from this valuable source.

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