大葉大學圖書館 |

登入

回首頁

Everything you wanted to know about ...

SpringerLink (Online service)

Everything you wanted to know about data analysis and fitting but were afraid to ask[electronic resource] /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	530.15
書名/作者:	Everything you wanted to know about data analysis and fitting but were afraid to ask/ by Peter Young.
作者:	Young, Peter.
出版者:	Cham : : Springer International Publishing :, 2015.
面頁冊數:	x, 85 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Mathematical physics.
標題:	Maximal subgroups.
標題:	Numerical analysis.
標題:	Physics.
標題:	Measurement Science and Instrumentation.
標題:	Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
標題:	Numerical and Computational Physics.
ISBN:	9783319190518 (electronic bk.)
ISBN:	9783319190501 (paper)
內容註:	Introduction -- Averages and Error Bars -- Fitting Data to a Model -- Appendices -- References.
摘要、提要註:	These notes describe how to average and fit numerical data that have been obtained either by simulation or measurement. Following an introduction on how to estimate various average values, they discuss how to determine error bars on those estimates, and how to proceed for combinations of measured values. Techniques for fitting data to a given set of models will be described in the second part of these notes. This primer equips readers to properly derive the results covered, presenting the content in a style suitable for a physics audience. It also includes scripts in python, perl and gnuplot for performing a number of tasks in data analysis and fitting, thereby providing readers with a useful reference guide.
電子資源:	http://dx.doi.org/10.1007/978-3-319-19051-8

Everything you wanted to know about data analysis and fitting but were afraid to ask[electronic resource] /
Young, Peter.

Everything you wanted to know about data analysis and fitting but were afraid to ask[electronic resource] /by Peter Young. - Cham :Springer International Publishing :2015. - x, 85 p. :ill., digital ;24 cm. - SpringerBriefs in physics,2191-5423. - SpringerBriefs in physics..

Introduction -- Averages and Error Bars -- Fitting Data to a Model -- Appendices -- References.

These notes describe how to average and fit numerical data that have been obtained either by simulation or measurement. Following an introduction on how to estimate various average values, they discuss how to determine error bars on those estimates, and how to proceed for combinations of measured values. Techniques for fitting data to a given set of models will be described in the second part of these notes. This primer equips readers to properly derive the results covered, presenting the content in a style suitable for a physics audience. It also includes scripts in python, perl and gnuplot for performing a number of tasks in data analysis and fitting, thereby providing readers with a useful reference guide.

ISBN: 9783319190518 (electronic bk.)

Standard No.: 10.1007/978-3-319-19051-8doiSubjects--Topical Terms:

182314
Mathematical physics.

LC Class. No.: QC20.7.G76

Dewey Class. No.: 530.15

Everything you wanted to know about data analysis and fitting but were afraid to ask[electronic resource] /
LDR:01824nmm a2200325 a 4500 001 439067
003 DE-He213
005 20160107140101.0
006 m d
007 cr nn 008maaau
008 160315s2015 gw s 0 eng d
020 $a 9783319190518 (electronic bk.)
020 $a 9783319190501 (paper)
024 7 $a 10.1007/978-3-319-19051-8 $2 doi
035 $a 978-3-319-19051-8
040 $a GP $c GP
041 0 $a eng
050 4 $a QC20.7.G76
072 7 $a PDDM $2 bicssc
072 7 $a SCI068000 $2 bisacsh
082 0 4 $a 530.15 $2 23
090 $a QC20.7.G76 $b Y75 2015
100 1 $a Young, Peter. $3 626658
245 1 0 $a Everything you wanted to know about data analysis and fitting but were afraid to ask $h [electronic resource] / $c by Peter Young.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a x, 85 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in physics, $x 2191-5423
505 0 $a Introduction -- Averages and Error Bars -- Fitting Data to a Model -- Appendices -- References.
520 $a These notes describe how to average and fit numerical data that have been obtained either by simulation or measurement. Following an introduction on how to estimate various average values, they discuss how to determine error bars on those estimates, and how to proceed for combinations of measured values. Techniques for fitting data to a given set of models will be described in the second part of these notes. This primer equips readers to properly derive the results covered, presenting the content in a style suitable for a physics audience. It also includes scripts in python, perl and gnuplot for performing a number of tasks in data analysis and fitting, thereby providing readers with a useful reference guide.
650 0 $a Mathematical physics. $3 182314
650 0 $a Maximal subgroups. $3 626659
650 0 $a Numerical analysis. $3 182796
650 1 4 $a Physics. $3 171863
650 2 4 $a Measurement Science and Instrumentation. $3 465064
650 2 4 $a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. $3 464764
650 2 4 $a Numerical and Computational Physics. $3 464126
710 2 $a SpringerLink (Online service) $3 463450
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in physics. $3 464236
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-19051-8
950 $a Physics and Astronomy (Springer-11651)

筆 0 讀者評論

多媒體

多媒體檔案
http://dx.doi.org/10.1007/978-3-319-19051-8

評論

新增評論分享你的心得

Export

取書館別