%0 Journal Article
%T Probability Laws Derived from the Gamma Function
%A Lansana Toure
%A Soumaila Conde
%J Open Journal of Statistics
%P 106-118
%@ 2161-7198
%D 2024
%I Scientific Research Publishing
%R 10.4236/ojs.2024.141005
%X Several
densities or probability laws of continuous random variables derive from the
Euler Gamma function. These laws form the basis of sampling theory, namely
hypothesis testing and estimation. Namely the gamma, beta,</span></span><span style=\"font-family:Verdana;\"><span style=\"font-family:Verdana;\"><span style=\"font-family:Verdana;\"> and</span></span></span><span style=\"font-family:Verdana;\"><span style=\"font-family:Verdana;\"><span style=\"font-family:Verdana;\"> Student law, through the chi-square law and the normal law are all
distributions resulting from applications of Euleur functions.
%K Gamma Function
%K Beta Function
%K Probability
%K Degree of Freedom
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=131509