Book contents
- Measurement Uncertainty and Probability
- Measurement Uncertainty and Probability
- Copyright page
- Dedication
- Contents
- Acknowledgements
- Introduction
- Part I Principles
- Part II Evaluation of uncertainty
- 6 Final preparation
- 7 Evaluation using the linear approximation
- 8 Evaluation without the linear approximation
- 9 Uncertainty information fit for purpose
- Part III Related topics
- Appendix A The weak law of large numbers
- Appendix B The Sleeping Beauty paradox
- Appendix C The sum of normal and uniform variates
- D Analysis with one Type A and one Type B error
- Appendix E Conservatism of treatment of Type A errors
- Appendix F An alternative to a symmetric beta distribution
- Appendix G Dimensions of the ellipsoidal confidence region
- Appendix H Derivation of the Feldman–Cousins interval
- References
- Index
7 - Evaluation using the linear approximation
from Part II - Evaluation of uncertainty
Published online by Cambridge University Press: 05 March 2013
- Measurement Uncertainty and Probability
- Measurement Uncertainty and Probability
- Copyright page
- Dedication
- Contents
- Acknowledgements
- Introduction
- Part I Principles
- Part II Evaluation of uncertainty
- 6 Final preparation
- 7 Evaluation using the linear approximation
- 8 Evaluation without the linear approximation
- 9 Uncertainty information fit for purpose
- Part III Related topics
- Appendix A The weak law of large numbers
- Appendix B The Sleeping Beauty paradox
- Appendix C The sum of normal and uniform variates
- D Analysis with one Type A and one Type B error
- Appendix E Conservatism of treatment of Type A errors
- Appendix F An alternative to a symmetric beta distribution
- Appendix G Dimensions of the ellipsoidal confidence region
- Appendix H Derivation of the Feldman–Cousins interval
- References
- Index
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- Measurement Uncertainty and Probability , pp. 98 - 124Publisher: Cambridge University PressPrint publication year: 2013
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