There are many events in daily life where a queue is formed. Queuing theory is the study of waiting lines and it is very crucial in analyzing the procedure of queuing in daily life of human being. Queuing theory applies not only in day to day life but also in sequence of computer programming, networks, medical field, banking sectors etc. Researchers have applied many statistical distributions in analyzing a queuing data. In this study, we apply a new distribution named Exponential-Gamma distribution in fitting a data on waiting time of bank customers before service is been rendered. We compared the adequacy and performance of the results with other existing statistical distributions. The result shows that the Exponential-Gamma distribution is adequate and also performed better than the existing distributions.
Exponential-Gamma distribution, Queuing theory, AIC, BIC, Networks
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