RT Report
T1 Inference in ergodic queues using occupation cycles
A1 Rodrigo Fernández, Antonio
AB We deal with inference problems on traffic intensity and on the mean number of customers in the system in steady state (q). We define the slopping time in terms of occupation cycles and apply the resulting estimators to a large class of stationary queues comparing it with alternative methods and with the integral estimator obtained directly from the sample in the Markovian case. Our method is quite effocient to estimate q. Also the asymptotic problems posed by Schruben and Kulkarni [7] do not appear. We observe that reductions in the sample information do not necessarily give worse estimations. We also give some numerical examples by simulating known models.
PB Facultad de Ciencias Económicas y Empresariales. Decanato
SN 2255-5471
YR 1994
FD 1994
LK https://hdl.handle.net/20.500.14352/64086
UL https://hdl.handle.net/20.500.14352/64086
LA eng
DS Docta Complutense
RD 17 abr 2025