Univariate Distribution Relations - Lawrence M. Leemis, Jaquelyn T. McQueston

Old notes:

it is roghly…

• Binomial (discrete grid, no interaction, values between 0 and inf) (parameter N and p is total tries/contribution and per try chance for one contribution)
• =⇒ Poisson (infinitely fine grid, values between 0 and inf) (parameter lambda is expected/mean value for this process that's bounded on the left)
• =⇒ Gauss curve (large x, negative x probabilities neglectable) (parameters are expected mean value and also spread, no bound to the left)

???

Nikolajs notebook, Classical probability density function