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Focusing on data analysis, this primer provides a comprehensive guide to averaging and fitting numerical data from simulations or measurements. It begins with estimating average values and determining error bars, followed by methods for combining measured values. The second part delves into techniques for fitting data to specific models. Tailored for a physics audience, the text includes practical scripts in Python, Perl, and Gnuplot, making it a valuable reference for effective data analysis and fitting.
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Everything You Wanted to Know About Data Analysis and Fitting but Were Afraid to Ask, Peter C. Young
- Idioma
- Publicado en
- 2015
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