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Everything you wanted to know about ...

Young, Peter.

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Everything you wanted to know about data analysis and fitting but were afraid to ask

紀錄類型:	書目-電子資源 : Monograph/item
正題名/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.
內容註:	Introduction -- Averages and Error Bars -- Fitting Data to a Model -- Appendices -- References.
Contained By:	Springer eBooks
標題:	Mathematical physics. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-19051-8
ISBN:	9783319190518 (electronic bk.)

Everything you wanted to know about data analysis and fitting but were afraid to ask
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:

516853
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
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