Cheng, R.C.H. (1998) Modelling input distributions in discrete event simulations. pp. 817-823. (The full text of this publication is not available from this repository)
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Discrete-event simulation almost invariably makes use of random quantities drawn from given probability distributions to model chance fluctuations. Such distributions are called input models and this tutorial discusses how to choose appropriate input models. Factors which should be considered in selecting input models are discussed. Input models depend on parameters that often have to be estimated from real data. We show how the parametric bootstrap can be used to investigate the distributional properties of parameter estimators and also to give a goodness-of-fit test thereby providing a method for selecting between competing candidate input models.
|Depositing User:||I. Ghose|
|Date Deposited:||29 Jun 2011 08:25|
|Last Modified:||28 May 2012 14:05|
|Resource URI:||http://kar.kent.ac.uk/id/eprint/17637 (The current URI for this page, for reference purposes)|