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

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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.

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Detail Information

Series Title

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Call Number

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Publisher

: ., 2015

Collation

4 b/w illustrations, 11 illustrations in colour

Language

English

ISBN/ISSN

978-3-319-19051-8

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

-

Subject(s)

Computer Science
Physics
Theoretical
Mathematical and Computational Physics
Statistics in Engineering
Chemistry and Earth Sciences
Measurement Science and Instrumentation

Specific Detail Info

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Statement of Responsibility

Peter Young

Other Information

Cataloger

agus

Source

-

Validator

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