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Everything You Wanted to Know About Data Analysis and Fitting but Were Afraid to Ask (Paperback, 2015 ed.)
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Everything You Wanted to Know About Data Analysis and Fitting but Were Afraid to Ask (Paperback, 2015 ed.)
Series: SpringerBriefs in Physics
Expected to ship within 10 - 15 working days
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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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