Expressing the randomity of events – An analysis of random number generation with given distributions
DOI :
https://doi.org/10.18192/osurj.v1i1.3702Résumé
Dans les cas où il est nécessaire de générer des nombres aléatoires qui obéissent à des distributions spécifiques, certaines distributions peuvent être exprimées sous forme de fonctions mathématiques, alors que d’autres ne peuvent pas l’être. Ceci est le cas pour les enquêtes épidémiologiques, médicales et pharmaceutiques, où on exige parfois des méthodes plus précises qui utilisent la distribution actuelle (à partir des données expérimentales et d’enquêtes) afin de générer des nombres aléatoires. Cette étude explore trois méthodes afin de
démontrer des exemples de calculs simples. Ces méthodes comprennent la transformée inverse, la méthode du rejet et les simulations de Monte-Carlo. Leurs applications sont explorées à partir des analyses de base de données. En outre, cet article traite d’une approche flexible et pratique l’optimisation des mesures statistiques, qui estime la solution en ajustant les mesures statistiques.
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