2 edition of Asymptotic expansions for infinite weighted convolutions of heavy tail distributions and applications found in the catalog.
Volume 197, number 922 (Fourth of five numbers).Includes bibliographical references and index.
|Statement||American Mathematical Society|
|Publishers||American Mathematical Society|
|The Physical Object|
|Pagination||xvi, 95 p. :|
|Number of Pages||90|
|2||Memoirs of the american mathematical society -- no. 922|
nodata File Size: 4MB.
It can be viewed both as a handbook, and as a detailed description of the methodology.
Please towithout removing the technical details. 1982 On some estimates of an exponent of regular variation. Abstract: The authors establish some asymptotic expansions for infinite weighted convolution of distributions having regularly varying tails. " -- even if all moments of two distributions are equal, the distributions are not necessarily identical.
You have requested a machine translation of selected content from our databases. Nonparametric Analysis of Univariate Heavy-Tailed data: Research and Practice. On lower limits and equivalences for distribution tails of randomly stopped sums, Bernoulli 14 2008 391—404 with D. SUMMARY: The authors prove a noncommutative analogue of this inequality for sums of free random variables over a given von Neumann subalgebra.
The first level of the Monster tower is a three-dimensional contact manifold and its integral curves are Legendrian curves. Furthermore it is shown that if the number of summands is fixed, this asymptotic expansion is actually a series expansion if evaluated at sufficiently large arguments. New York: Chapman and Hall.