Everything you wanted to know about data analysis and fitting but were afraid to ask [electronic resource] / Peter Young.
Young, Peter, author.
2015
QC20.7.G76
Available Online

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Title Everything you wanted to know about data analysis and fitting but were afraid to ask [electronic resource] / Peter Young.
Author Young, Peter, author.
ISBN 9783319190518 electronic book
3319190512 electronic book
9783319190501
DOI https://doi.org/10.1007/978-3-319-19051-8
Published Cham : Springer, [2015]
Language English
Description 1 online resource : illustrations.
Item Number 10.1007/978-3-319-19051-8 doi
Call Number QC20.7.G76
Dewey Decimal Classification 530.15
Summary 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.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (viewed May 27, 2015).
Series SpringerBriefs in physics.
Available in Other Form Print version: 9783319190501
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Record Appears in Online Resources > Ebooks
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Introduction
Averages and Error Bars
Fitting Data to a Model
Appendices
References.

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