Independent Random Variables and Rearrangement Invariant Spaces
The subject of this book lies on the boundary between probability theory and the theory of function spaces. Here Professor Braverman investigates independent random variables in rearrangement invariant (r.i.) spaces. The significant feature of r.i. spaces is that the norm of an element depends on its distribution only, and this property allows the results and methods associated with r.i. spaces to be applied to problems in probability theory. On the other hand, probabilistic methods can also prove useful in the study of r.i. spaces. In this book new techniques are used and a number of interesting results are given. Most of the results are due to the author but have never before been available in English. Here they are all presented together in a volume that will be essential reading for all serious researchers in this area.
The classic "Limit Dislribntions fOT slt1ns of Independent Ramdorn Vari ables" by B. V. Gnedenko and A. N. Kolmogorov was published in 1949. Since then the theory of summation of independent...
The author describes the current state of the art in the theory of invariant random fields. This theory is based on several different areas of mathematics, including probability theory, differential...
The purpose of this research was to assess whether Aeronautical Systems Center's (ASC's) acquisition professionals believe Cost as an Independent Variable (CAIV) has enabled their programs and...