Treffer: Everything You Wanted to Know About Data Analysis and Fitting but Were Afraid to Ask
Title:
Everything You Wanted to Know About Data Analysis and Fitting but Were Afraid to Ask
Authors:
Publication Year:
2015
Physical Description:
X, 85 p. 15 illus., 11 illus. in color. online resource.
Series:
SpringerBriefs in Physics
SpringerBriefs in Physics.
SpringerBriefs in Physics.
Subject Terms:
Contents Note:
Introduction -- Averages and Error Bars -- Fitting Data to a Model -- Appendices -- References.
Original Identifier:
(Springer)9783319190518
Document Type:
Buch
Book
Language:
English
ISBN:
978-3-319-19051-8
978-3-319-19050-1
3-319-19051-2
3-319-19050-4
978-3-319-19050-1
3-319-19051-2
3-319-19050-4
Rights:
This record is part of the Harvard Library Bibliographic Dataset, which is provided by the Harvard Library under its Bibliographic Dataset Use Terms and includes data made available by, among others, OCLC Online Computer Library Center, Inc. and the Library of Congress.
Accession Number:
edshlc.014393692.1
Database:
Harvard Library Bibliographic Dataset
Weitere Informationen
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.