Title Everything You Wanted to Know About Data Analysis and Fitting but Were Afraid to Ask Author(s) Young, Peter Publication Cham, Springer International Publishing, 2015. Description X, 85 p. 15 illus., 11 illus. in color : online resource Abstract Note 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 ISBN,Price 9783319190518 Keyword(s) 1. EBOOK 2. EBOOK - SPRINGER 3. Measurement Science and Instrumentation 4. Measurement?????? 5. Numerical and Computational Physics, Simulation 6. PHYSICAL MEASUREMENTS 7. PHYSICS 8. Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences 9. Statistics?? Item Type eBook Multi-Media Links Please Click here for eBook Circulation Data Accession#   Call# Status Issued To Return Due On Physical Location I06983     On Shelf