Uniform error bounds for a continuous approximation of non-negative random variables
Statistics Theory
2010-10-12 v1 Statistics Theory
Abstract
In this work, we deal with approximations for distribution functions of non-negative random variables. More specifically, we construct continuous approximants using an acceleration technique over a well-know inversion formula for Laplace transforms. We give uniform error bounds using a representation of these approximations in terms of gamma-type operators. We apply our results to certain mixtures of Erlang distributions which contain the class of continuous phase-type distributions.
Cite
@article{arxiv.1010.2066,
title = {Uniform error bounds for a continuous approximation of non-negative random variables},
author = {Carmen Sangüesa},
journal= {arXiv preprint arXiv:1010.2066},
year = {2010}
}
Comments
Published in at http://dx.doi.org/10.3150/09-BEJ209 the Bernoulli (http://isi.cbs.nl/bernoulli/) by the International Statistical Institute/Bernoulli Society (http://isi.cbs.nl/BS/bshome.htm)