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- W1577694476 abstract "Queuing theory may be useful for analyzing economic phenomena involving count and duration data. We develop maximum likelihood estimators for the time-varying parameters of a simple queuing system based on two kinds of data: complete interarrival and service times (IST), and number of units in service (NIS). The IST estimator dominates the NIS estimator, in terms of ease of implementation, bias, and variance. The model is useful for many empirical applications in economics." @default.
- W1577694476 created "2016-06-24" @default.
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- W1577694476 date "2005-11-04" @default.
- W1577694476 modified "2023-09-27" @default.
- W1577694476 title "Estimation of a simple queuing system with Units-in-service and complete data" @default.
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