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

Unlimited

Authorized users

Can lend chapters, not whole ebooks

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

9783319190518 electronic book
3319190512 electronic book
9783319190501

Cham : Springer, [2015]

English

1 online resource : illustrations.

10.1007/978-3-319-19051-8 doi

QC20.7.G76

530.15

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.

Includes bibliographical references.

Access limited to authorized users.

Online resource; title from PDF title page (viewed May 27, 2015).

SpringerBriefs in physics.

Print version: 9783319190501

Online Resources > Ebooks
All Resources