On the longest gap between power-rate arrivals
Probability
2017-09-22 v2
Abstract
Let be the longest gap before time in an inhomogeneous Poisson process with rate function proportional to for some . It is shown that has a limiting Gumbel distribution for suitable constants and that the distance of this longest gap from is asymptotically of the form for an exponential random variable . The analysis is performed via weak convergence of related point processes. Subject to a weak technical condition, the results are extended to include a slowly varying term in .
Keywords
Cite
@article{arxiv.1703.09424,
title = {On the longest gap between power-rate arrivals},
author = {Søren Asmussen and Jevgenijs Ivanovs and Johan Segers},
journal= {arXiv preprint arXiv:1703.09424},
year = {2017}
}
Comments
19 pages