Measurement uncertainty and probability /
xvii, 276 p. : illustrations ; 26 cm. Content notes : Machine generated contents note: Part I. Principles:
1. Introduction; .
2. Foundational ideas in measurement;
3. Components of error or uncertainty;
4. Foundational ideas in probability and statistics;
5. The randomization of systematic errors;
6. Beyond the standard confidence interval;
Part II. Evaluation of Uncertainty:
7. Final preparation;
8. Evaluation using the linear approximation;
9. Evaluation without the linear approximations;
10. Uncertainty information fit for purpose;
Part III. Related Topics:
11. Measurement of vectors and functions;
12. Why take part in a measurement comparison?;
13. Other philosophies;
14. An assessment of objective Bayesian methods;
15. A guide to the expression of uncertainty in measurement; 16. Measurement near a limit - an insoluble problem?;
References;
Index. Probabilities. SCIENCE / Physics.
