Includes a separate section featuring approximately 100 examples.

Fundamental to theoretical probability and valuable in such applications as financial, insurance, and biological modeling and deconvolution problems in mathematical physics, infinite divisibility has proven to be a very profitable area of research. Reassessing classical theory and presenting new developments, Infinite Divisibility of Probability Distributions on the Real Line is a definitive, example-filled text focused on divisibility with respect to convolution and addition of independent random variables.