Everything You Wanted to Know About Data Analysis and Fitting but Were Afraid to Ask

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Springer


Collection :

SpringerBriefs in Physics

Paru le : 2015-05-19

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Description

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.
Pages
85 pages
Collection
SpringerBriefs in Physics
Parution
2015-05-19
Marque
Springer
EAN papier
9783319190501
EAN PDF
9783319190518

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
8
Taille du fichier
1464 Ko
Prix
52,74 €
EAN EPUB
9783319190518

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
8
Taille du fichier
1434 Ko
Prix
52,74 €