Everything You Wanted to Know About Data Analysis and Fitting but Were Afraid to Ask Paperback / softback
by Peter Young
Part of the SpringerBriefs in Physics series
Paperback / softback
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.
Information
-
Item not Available
- Format:Paperback / softback
- Pages:85 pages, 11 Illustrations, color; 4 Illustrations, black and white; X, 85 p. 15 illus., 11 illus. i
- Publisher:Springer International Publishing AG
- Publication Date:21/05/2015
- Category:
- ISBN:9783319190501
Other Formats
- PDF from £38.24
Information
-
Item not Available
- Format:Paperback / softback
- Pages:85 pages, 11 Illustrations, color; 4 Illustrations, black and white; X, 85 p. 15 illus., 11 illus. i
- Publisher:Springer International Publishing AG
- Publication Date:21/05/2015
- Category:
- ISBN:9783319190501
