we discuss in this paper the strong convergence for weighted sums of negatively orthant dependent (nod) random variables by generalized gaussian techniques. as a corollary, a cesaro law of large numbers of i.i.d. random variables is extended in nod setting by generalized gaussian techniques.

The study examined 40 students’ explanations of a statement referring to decreases in variance with sample size. Content analysis coded 22 explanation features. Four groups of subjects were defined. Five undergraduates were unsure of the relationship described in the statement. A second group reversed the statement; a diversity-based view of within sample variability was proposed to explain the...

This paper explores a Weighted Exact Weak Law, where the classical Weak Law fails and the corresponding Strong Law also fails. This type of result comes from the Fair Games problem and is associated with the St Petersburg Game.