Consider independent and identically distributed random variables {X nk, 1 ≤ k ≤ m, n ≤ 1} from the Pareto distribution. We select two order statistics from each row, X n(i) ≤ X n(j), for 1 ≤ i < j ≤ = m. Then we test to see whether or not Laws of Large Numbers with nonzero limits exist for weighted sums of the random variables R ij = X n(j)/X n(i).
@article{bwmeta1.element.doi-10_1007_s11533-005-0001-6, author = {Andr\'e Adler}, title = {Exact laws for sums of ratios of order statistics from the Pareto distribution}, journal = {Open Mathematics}, volume = {4}, year = {2006}, pages = {1-4}, zbl = {1097.62008}, language = {en}, url = {http://dml.mathdoc.fr/item/bwmeta1.element.doi-10_1007_s11533-005-0001-6} }
André Adler. Exact laws for sums of ratios of order statistics from the Pareto distribution. Open Mathematics, Tome 4 (2006) pp. 1-4. http://gdmltest.u-ga.fr/item/bwmeta1.element.doi-10_1007_s11533-005-0001-6/
[1] A. Adler: “Exact Strong Laws”, Bulletin Institute Mathematics Academia Sinica, Vol. 28(3), (2000), pp. 141–166. | Zbl 0966.60024
[2] A. Adler: “Exact Laws for Sums of Order Statistics from the Pareto Distrbution”, Bulletin Institute Mathematics Academia Sinica, Vol. 31(3), (2003), pp. 181–193.
[3] W. Feller: An Introduction to Probability Theory and Its Applications, Vol. 1, 3rd ed., John Wiley, New York, 1968.
[4] M. Klass and H. Teicher: “Iterated Logarithm Laws for Asymmetric Random Variables Barely With or Without Finite Mean”, Annals Probab., Vol. 5(6), (1977), pp. 861–874. | Zbl 0372.60042