TY - JOUR JF - srtc-ijoss JO - مجله‌ی بررسی‌ها VL - 22 IS - 1 PY - 2011 Y1 - 2011/9/01 TI - Considering Bayesian Inference for Transient GI/G/1 Queuing Systems TT - بررسی مدل صف‌بندی 1GI/G/ در حالت گذرا با رهیافت بیزی N2 - In this article, we are going to interpret one of the queueing systems with a single server that has general and unknown distribution for the service and interarrival time using Bayesian view point. These General distributions may be well approximated by family of Mixed General Erlang distribution (MGE). This distribution is reparametrized such that it is possible to define a non-informative prior which allows using the MCMC method for estimating the parameters of models. Using the results of simulating parameters, we can estimate interesting measures that are based on recent results for known parameters in GI/G/1 frequently implemented queueing systems. At the end, we illustrate our approach for analyzing GI/G/1 systems with data from a bank. SP - 1 EP - 16 AU - Salehi Rad, reza AU - Abbasi, Asieh AD - KW - GI/G/1 queueing system KW - Bayesian inference KW - mixed general Erlang distribution KW - transient analysis KW - Monte Carlo Markov chain (MCMC). UR - http://ijoss.srtc.ac.ir/article-1-65-en.html ER -