This volume in the Working Guides to Estimating Series considers risk and uncertainty and how to model them, including the ubiquitous Monte Carlo Simulation. The text opens with a consideration of design and development activities; where you might be able to exploit an empirical pattern of behaviour; the properties of a Norden-Rayleigh Curve and some alternative models.
Risk, Opportunity and Uncertainty forms the backdrop for the guidance on Monte Carlo Simulation, and provides advice on the do's and don'ts in this context. It can also be used to test other assumptions in a more general modelling sense.
The book concludes with a range of miscellaneous topics including Queueing Theory.
