Measurement Uncertainty and Probability: References

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.

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