國立虎尾科技大學 |

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

Record Type:	Language materials, printed : Monograph/item
Title/Author:	An introduction to uncertainty in measurement using the GUM (guide to the expression of uncertainty in measurement) // L. Kirkup and R.B. Frenkel.
Author:	Kirkup, Les,
other author:	Frenkel, Bob,
Description:	1 online resource (xiii, 233 pages) :digital, PDF file(s). :
Notes:	Title from publisher's bibliographic system (viewed on 05 Oct 2015).
Subject:	Measurement uncertainty (Statistics) -
Online resource:	https://doi.org/10.1017/CBO9780511755538
ISBN:	9780511755538 (ebook)

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:

1111624
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:02108nam a2200289 i 4500 001 1123509
003 UkCbUP
005 20151005020622.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 240926s2006||||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 1440454
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 1111624
650 0 $a Physical measurements. $3 902742
700 1 $a Frenkel, Bob, $e author. $3 1440455
776 0 8 $i Print version: $z 9780521844284
856 4 0 $u https://doi.org/10.1017/CBO9780511755538