Laws of Large Numbers contains the usual laws of large numbers
together with the recent ones derived in unified and elementary
approaches. Most of these results are valid for dependent and possibly
non-identical sequence of random variables. These are established under
much greater generalities with methods drastically simpler than the
standard ones available in current text-books.
Using the uniform Integrability type conditions, the monograph
supplements the strong laws of large numbers by proving Lp-convergence
of the sample mean to its expectations.