This book is unique in that the estimation and propagation of both precision (random) errors and bias (fixed) errors are considered as opposed to the previous practice of assuming that bias errors are negligible or have been eliminated by calibration. We discuss the procedures for handling small sample sizes, which require use of the t-distribution, and for handling the important practical cases in which bias arrors in different variables are correlated.
Our presentation follow and explains the approaches in the ANIS/ASME Standard on Measurement Uncertainty, which was approved and adopted by the American National Standards Institute in February 1985 as an American National Standard and was issued by the American Society of Mechanical Engineers in April 1986.
1. experimentation, Errors, And Uncertainty
2. Statistical Considerations in Measurement Uncertainties
3. Planning an Experiment: General Uncertainty Analysis
4. Designing an Experiment: Detailed Uncertainty Analysis
5. Additional Considerations in Experimental Design
6. Debugging and Execution of Experiments