Open AccessModelo probabilístico para predecir la dinámica de la tasa de delincuencia en Michoacán
Author(s) -
Juan Bacilio Guerrero Escamilla
Publication year - 2018
Publication title -
ciencia ergo sum
Language(s) - English
Resource type - Journals
eISSN - 2395-8782
pISSN - 1405-0269
DOI - 10.30878/ces.v25n1a3
Subject(s) - humanities , probabilistic logic , welfare economics , geography , mathematics , economics , statistics , art
In this paper a probabilistic model of cross section is fit to predict the behavior of the rate of crime in Michoacan. This model will allow a simplified representation of social phenomena, and thus we can evaluate the functions performed by the institutions that affect their dynamics.
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