Third-order Asymptotic Optimality of the Generalized Shiryaev-Roberts Changepoint Detection Procedures
Statistics Theory
2015-03-17 v3 Statistics Theory
Abstract
Several variations of the Shiryaev-Roberts detection procedure in the context of the simple changepoint problem are considered: starting the procedure at (the original Shiryaev-Roberts procedure), at for fixed , and at that has a quasi-stationary distribution. Comparisons of operating characteristics are made. The differences fade as the average run length to false alarm tends to infinity. It is shown that the Shiryaev-Roberts procedures that start either from a specially designed point or from the random "quasi-stationary" point are order-3 asymptotically optimal.
Keywords
Cite
@article{arxiv.1005.1129,
title = {Third-order Asymptotic Optimality of the Generalized Shiryaev-Roberts Changepoint Detection Procedures},
author = {Alexander G. Tartakovsky and Moshe Pollak and Aleksey S. Polunchenko},
journal= {arXiv preprint arXiv:1005.1129},
year = {2015}
}
Comments
28 pages, 4 figures, Theory of Probability and Its Applications (to appear)