000 02556cam a22002535a 4500
001 17361907
005 20180228113629.0
008 120626s2013 enka frb 001 0 eng d
020 _a9781107021938
040 _aDLC
_beng
_cDLC
_dDLC
_dEG-ScBUE
082 0 4 _222
_a519.2
_bWIL
100 1 _aWillink, Robin,
_d1961-
245 1 0 _aMeasurement uncertainty and probability /
_cRobin Willink.
260 _aCambridge :
_bCambridge University Press,
_c2013.
300 _axvii, 276 p. :
_bill. ;
_c26 cm.
504 _aIncludes bibliographical references and index.
505 8 _aMachine 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.
520 _a"A measurement result is incomplete without a statement of its 'uncertainty' or 'margin of error'. But what does this statement actually tell us? By examining the practical meaning of probability, this book discusses what is meant by a '95 percent interval of measurement uncertainty', and how such an interval can be calculated. The book argues that the concept of an unknown 'target value' is essential if probability is to be used as a tool for evaluating measurement uncertainty. It uses statistical concepts, such as a conditional confidence interval, to present 'extended' classical methods for evaluating measurement uncertainty. The use of the Monte Carlo principle for the simulation of experiments is described. Useful for researchers and graduate students, the book also discusses other philosophies relating to the evaluation of measurement uncertainty. It employs clear notation and language to avoid the confusion that exists in this controversial field of science"--
650 7 _aMeasurement uncertainty (Statistics)
_2BUEsh
650 7 _aProbabilities.
_2BUEsh
651 _2BUEsh
653 _bGGEN
_bENGELC
_cFebruary2018
942 _2ddc
999 _c26204
_d26176