Lecture 9. Goodness-of-fit and significance

Statistical Data Analysis

Dmitry V. Naumov (JINR)

Draft Outline

• TODO: goodness-of-fit metrics and p-values
• TODO: local/global significance and look-elsewhere effect
• TODO: discovery vs exclusion criteria

Exercises

Exercise

Show that the likelihood for a Poisson count \(n\) with expectation \(\mu\) is \[ L(\mu)=\frac{\mu^n e^{-\mu}}{n!}. \]