Statistical Inference for Queueing Models

Abstract

Statistical analysis of data is essential to initiate probability modeling. Statistical inference completes the process by linking the model with the random phenomenon. Thus, for using the queueing models developed in earlier chapters, we need to estimate model parameters and make sure that we have the right model. In the next few sections, we discuss methods of parameter estimation appropriate to various data collection procedures.

We have not discussed any data collection and analysis procedures in this text simply because there are several books on them in the literature on statistics. Statistical inference procedures are also well established and on the face of it, a chapter on statistical inference of queueing systems may seem superfluous. However, in queueing systems standard data collection procedures may not be possible and those are the cases we plan to consider in this chapter.