Abstract
This chapter discusses symmetrically dependent random variables and their generalizations. A sequence of symmetrically dependent random variables is a stationary sequence. Stronger results can be obtained by using a fundamental theorem of symmetrically dependent random variables. The chapter describes quasi-independent events and quasi-multiplicative systems, and it presents the connection between the ESMS and the quasi-multiplicative systems in the form of theorems.
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