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A model is mainly made of a distribution function, and its parameters.

Usually, you need to estimate the parameters (see likelihood, estimators, ... a bit further), but sometimes (a maybe most of the time) you can't find the exact value. What we usually do when giving the parameters is also giving a confidence interval! So that every person reading our model knows the range of each parameter.`