Abstract
AbstractThis article deals with the problem of estimating the service time distribution of the $$M_t/G/\infty $$
M
t
/
G
/
∞
queue from observation of the departure epochs. We develop minimax optimal estimators of G and study behavior of the minimax pointwise risk over a suitable family of service time distribution functions. In addition, we address the problem of adaptive estimation and propose a data–driven estimation procedure that adapts to unknown smoothness of the service time distribution function G. Lastly, a numerical study is presented to illustrate practical performance of the developed adaptive procedure.
Funder
Israel Science Foundation
University of Haifa
Publisher
Springer Science and Business Media LLC