Uncertainty Analysis of Experimental Data with R by Benjamin David Shaw

Author:Benjamin David Shaw [Shaw, Benjamin David]
Language: eng
Format: azw3
ISBN: 9781315323602
Publisher: CRC Press
Published: 2017-07-06T04:00:00+00:00

References

1.ASME PTC 19.1-2013, Test uncertainty—Performance test codes, The American Society of Mechanical Engineers, New York, 2013.

2.H. W. Coleman and W. G. Steele, Experimentation, Validation, and Uncertainty Analysis for Engineers, 3 rd edn., Wiley, Hoboken, NJ, 2009.

3.JCGM 100:2008, Evaluation of measurement data—Guide to the expression of uncertainty in measurement, GUM 1995 with minor corrections, International Bureau of Weight and Measures (BIPM), Sérres, France, 2008.

4.JCGM 101:2008, Evaluation of measurement data: Supplement 1 to the “Guide to the expression of uncertainty in measurement”—Propagation of distributions using a Monte Carlo method, International Bureau of Weight and Measures (BIPM), Sérres, France, 2008.

5.B. N. Taylor and C. E. Kuyatt, Guidelines for evaluating and expressing the uncertainty of NIST measurement results, NIST Technical Note 1297, 1994 Edition (Supersedes 1993 Edition), National Institute of Standards and Technology, Gaithersburg, MD, 1994.

6.L. A. Goodman, On the exact variance of products, Journal of the American Statistical Association 55, 708–713, 1960.

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