Probability and Statistics for Particle Physics by Carlos Maña

Author:Carlos Maña
Language: eng
Format: epub, pdf
Publisher: Springer International Publishing, Cham

and goes through the following reasoning:(1)Assumes that the parameter has the true but unknown value so the sample is actually drawn from ;

(2)Find the estimator of as the value of that maximizes the likelihood; that is:

(3)Given the model , after the appropriate change of variables get the distribution

of the random quantity and draw inferences from it.

The Bayesian inferential process considers a prior distribution and draws inferences on from the posterior distribution of the quantity of interest

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