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Contributed paper list


   (Monday 3rd, 16:00-18:00)

Teaching of Bayesian estimation of “p” probability in a bernoulli process

Presenter

• Maria Teresa Gil (Argentina)

Abstract

Both at the School of Engineering of Universidad Nacional de La Matanza and Universidad de Buenos Aires, the teaching of statistics is considered to be highly important. The aim of this presentation is to show the advantages and disadvantages of the Bayesian estimation of the “p” parameter in a Bernoulli Process, in particular in a binomial distribution (n ; p). The similarities and differences between the classical estimation of such parameter and the Bayesian estimation will be established. The predictions which can be carried out as a result of the obtained estimations will also be developed. In order to teach both Bayesian and classical estimation of population parameters, mathematical and statistics software is used as a tool to help the understanding of the concepts. In this presentation Matlab and Excel have been used.