Each of the random variables selected in the prior step corresponds to an item within our population. The group sample is selected by identifying which random values were chosen and which ...

Random factor analysis is a statistical technique to decipher whether outlying data is caused by an underlying trend or just simply a random event.

A rich and flexible class of random probability measures, which we call stick-breaking priors, can be constructed using a sequence of independent beta random variables. Examples of random measures ...

Books Received Published: 01 January 1938 (1) Généralités sur les probabilités; variables aléatoires (2) Théorie de l'addition des variables aléatoires (3) Random Variables and Probability ...

David Gilat, Some Conditions Under Which Two Random Variables are Equal Almost Surely and a Simple Proof of a Theorem of Chung and Fuchs, The Annals of Mathematical Statistics, Vol. 42, No. 5 (Oct., ...