建國科技大學圖書館 |

語系: 繁體中文

說明(常見問題)

圖書館個人資料蒐集告知聲明

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Measurement uncertainty and probability

Willink, Robin (1961-)

Measurement uncertainty and probability

紀錄類型:	書目-語言資料,印刷品 : 單行本
作者:	WillinkRobin, 1961-
出版地:	Cambridge
出版者:	Cambridge University Press;
出版年:	2013
面頁冊數:	xvii, 276 p.ill. : 26 cm;
標題:	Measurement uncertainty (Statistics) -
標題:	Probabilities -
摘要註:	"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"--
ISBN:	9781107021938
內容註:	Foundational ideas in measurement -- Components of error or uncertainty -- Foundational ideas in probability and statistics -- The randomization of systematic errors -- Beyond the standard confidence interval -- Final preparation -- Evaluation using the linear approximation -- Evaluation without the linear approximation -- Uncertainty information fit for purpose -- Measurement of vectors and functions -- Why take part in a measurement comparison? -- Other philosophies -- An assessment of objective Bayesian methods -- Guide to the expression of uncertainty in measurement -- Measurement near a limit, an insoluble problem?

Measurement uncertainty and probability
Willink, Robin

Measurement uncertainty and probability / Robin Willink - Cambridge : Cambridge University Press, 2013. - xvii, 276 p. ; ill. ; 26 cm.
Foundational ideas in measurement -- Components of error or uncertainty -- Foundational ideas in probability and statistics -- The randomization of systematic errors -- Beyond the standard confidence interval -- Final preparation -- Evaluation using the linear approximation -- Evaluation without the linear approximation -- Uncertainty information fit for purpose -- Measurement of vectors and functions -- Why take part in a measurement comparison? -- Other philosophies -- An assessment of objective Bayesian methods -- Guide to the expression of uncertainty in measurement -- Measurement near a limit, an insoluble problem?.
Includes bibliographical references (p. 268-272) and index.
ISBN 9781107021938ISBN 1107021936
Measurement uncertainty (Statistics)Probabilities

Measurement uncertainty and probability
LDR:02212cam0 2200217 4500 001 345491
009 ocn795763832
010 1 $a 9781107021938 $b hbk. $d NT3001
010 1 $a 1107021936 $b hbk.
100 $a 20141218d2013 k y0engy50 b
101 0 $a eng
102 $a gb
105 $a a a 001yy
200 1 $a Measurement uncertainty and probability $f Robin Willink
210 $a Cambridge $c Cambridge University Press $d 2013
215 1 $a xvii, 276 p. $c ill. $d 26 cm
320 $a Includes bibliographical references (p. 268-272) and index
327 1 $a Foundational ideas in measurement -- Components of error or uncertainty -- Foundational ideas in probability and statistics -- The randomization of systematic errors -- Beyond the standard confidence interval -- Final preparation -- Evaluation using the linear approximation -- Evaluation without the linear approximation -- Uncertainty information fit for purpose -- Measurement of vectors and functions -- Why take part in a measurement comparison? -- Other philosophies -- An assessment of objective Bayesian methods -- Guide to the expression of uncertainty in measurement -- Measurement near a limit, an insoluble problem?
330 $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"--
606 $a Measurement uncertainty (Statistics) $2 lc $3 320141
606 $a Probabilities $2 lc $3 65727
676 $a 519.2 $v 23
680 $a QA276.8 $b W56 2013
700 1 $a Willink $b Robin $f 1961- $3 320140
801 0 $a cw $b CTU $c 20141120 $g AACR2