大葉大學圖書館 |

An introduction to uncertainty in measurement using the GUM (guide to the expression of uncertainty in measurement) /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	530.8
書名/作者:	An introduction to uncertainty in measurement using the GUM (guide to the expression of uncertainty in measurement) // L. Kirkup and R.B. Frenkel.
作者:	Kirkup, Les,
其他作者:	Frenkel, Bob,
面頁冊數:	1 online resource (xiii, 233 pages) : : digital, PDF file(s).
附註:	Title from publisher's bibliographic system (viewed on 05 Oct 2015).
標題:	Measurement uncertainty (Statistics)
標題:	Physical measurements.
ISBN:	9780511755538 (ebook)
摘要、提要註:	Measurement shapes scientific theories, characterises improvements in manufacturing processes and promotes efficient commerce. In concert with measurement is uncertainty, and students in science and engineering need to identify and quantify uncertainties in the measurements they make. This book introduces measurement and uncertainty to second and third year students of science and engineering. Its approach relies on the internationally recognised and recommended guidelines for calculating and expressing uncertainty (known by the acronym GUM). The statistics underpinning the methods are considered and worked examples and exercises are spread throughout the text. Detailed case studies based on typical undergraduate experiments are included to reinforce the principles described in the book. This guide is also useful to professionals in industry who are expected to know the contemporary methods in this increasingly important area. Additional online resources are available to support the book at www.cambridge.org/9780521605793.
電子資源:	http://dx.doi.org/10.1017/CBO9780511755538

An introduction to uncertainty in measurement using the GUM (guide to the expression of uncertainty in measurement) /
Kirkup, Les,

An introduction to uncertainty in measurement using the GUM (guide to the expression of uncertainty in measurement) /L. Kirkup and R.B. Frenkel. - 1 online resource (xiii, 233 pages) :digital, PDF file(s).

Title from publisher's bibliographic system (viewed on 05 Oct 2015).

Measurement shapes scientific theories, characterises improvements in manufacturing processes and promotes efficient commerce. In concert with measurement is uncertainty, and students in science and engineering need to identify and quantify uncertainties in the measurements they make. This book introduces measurement and uncertainty to second and third year students of science and engineering. Its approach relies on the internationally recognised and recommended guidelines for calculating and expressing uncertainty (known by the acronym GUM). The statistics underpinning the methods are considered and worked examples and exercises are spread throughout the text. Detailed case studies based on typical undergraduate experiments are included to reinforce the principles described in the book. This guide is also useful to professionals in industry who are expected to know the contemporary methods in this increasingly important area. Additional online resources are available to support the book at www.cambridge.org/9780521605793.

ISBN: 9780511755538 (ebook)Subjects--Topical Terms:

643995
Measurement uncertainty (Statistics)

LC Class. No.: T50 / .K57 2006

Dewey Class. No.: 530.8

An introduction to uncertainty in measurement using the GUM (guide to the expression of uncertainty in measurement) /
LDR:02110nam a22002898i 4500 001 448896
003 UkCbUP
005 20151005020622.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 161201s2006||||enk o ||1 0|eng|d
020 $a 9780511755538 (ebook)
020 $z 9780521844284 (hardback)
020 $z 9780521605793 (paperback)
035 $a CR9780511755538
040 $a UkCbUP $b eng $e rda $c UkCbUP
050 0 0 $a T50 $b .K57 2006
082 0 0 $a 530.8 $2 22
100 1 $a Kirkup, Les, $e author. $3 643993
245 1 3 $a An introduction to uncertainty in measurement using the GUM (guide to the expression of uncertainty in measurement) / $c L. Kirkup and R.B. Frenkel.
264 1 $a Cambridge : $b Cambridge University Press, $c 2006.
300 $a 1 online resource (xiii, 233 pages) : $b digital, PDF file(s).
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Title from publisher's bibliographic system (viewed on 05 Oct 2015).
520 $a Measurement shapes scientific theories, characterises improvements in manufacturing processes and promotes efficient commerce. In concert with measurement is uncertainty, and students in science and engineering need to identify and quantify uncertainties in the measurements they make. This book introduces measurement and uncertainty to second and third year students of science and engineering. Its approach relies on the internationally recognised and recommended guidelines for calculating and expressing uncertainty (known by the acronym GUM). The statistics underpinning the methods are considered and worked examples and exercises are spread throughout the text. Detailed case studies based on typical undergraduate experiments are included to reinforce the principles described in the book. This guide is also useful to professionals in industry who are expected to know the contemporary methods in this increasingly important area. Additional online resources are available to support the book at www.cambridge.org/9780521605793.
650 0 $a Measurement uncertainty (Statistics) $3 643995
650 0 $a Physical measurements. $3 499007
700 1 $a Frenkel, Bob, $e author. $3 643994
776 0 8 $i Print version: $z 9780521844284
856 4 0 $u http://dx.doi.org/10.1017/CBO9780511755538