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Joined: 04/07/2015(UTC) Posts: 6,866 Was thanked: 981 time(s) in 809 post(s)
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1. create [normal/uniform] noise for your experiment. 2. The generalised histogram. 3. Get a fit of your histogram. Design/explore model(s) to best fit your histogram from unknown source. Jean Stat Histogram CODE.sm (29kb) downloaded 46 time(s). Stat Histogram CODE Genfit.sm (30kb) downloaded 38 time(s).
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1 user thanked Jean Giraud for this useful post.
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