The function of statistical distribution modelling is presented including its advantages and limitations. A simple framework is provided to indicate how methods of distribution identification and parameter estimation can be chosen. The application of air quality management is used to demonstrate...

The paper examines how empirical models can be constructed to describe the dependence of the error in fitting data to parametric models of probability distributions on the type of distribution, sample size, parent parameter values and percentiles of interest. Such models are important in...