On the long tail property of product convolution
Abstract
Let X and Y be two independent random variables with corresponding distributions F and G supported on [0,∞). The distribution of the product XY, which is called the product convolution of F and G, is denoted by H. In this paper, some suitable conditions about F and G are given, under which the distribution H belongs to the long-tailed distribution class. Here, F is a generalized long-tailed distribution and is not necessarily an exponential distribution. Finally, a series of examples are given to show that the above conditions are satisfied by many distributions and one of them is necessary in some sense.
Turn this paper into a lesson
ArcXiv compiles a structured reading guide from this paper's metadata: plain-English importance, contributions, prerequisite concepts, which sections to read first, flashcards, and a quiz. Grounded in the abstract, never invented.