We consider the optimal design of experimental epidemics modelled as density dependent Markov processes. We focus on finding (i) the optimal times at which to collect data about the state of the system for a small number of discrete observations, (ii) the optimal numbers of susceptible and infective individuals to begin an experiment with, and (iii) the optimal number of replicate epidemics to ...

Conjoint analysis is a research technique for measuring consumer preferences, and it is a method for simulating consumers’ possible reactions to changes in current products or newly introduced products into an existing competitive market. One of the most critical steps in Conjoint analysis application is experimental designs construction. The purpose of an experimental design is to give a rough...

A general framework for multi-criteria optimal design is presented which is well suited for performancebased design of structural systems operating in an uncertain dynamic environment. A decision theoretic approach is used which is based on aggregation of preference functions for the multiple, possibly con#icting, design criteria. This allows the designer to trade o! these criteria in a control...

This article demonstrates how a three-parameter logarithmic transformation combined with an exponentially weighted moving average (EWMA) approach can be used to monitor the sample variance of a process. The computation of the parameters of the logarithmic transformation and the control limits are explained. An easy-to-use table is provided and an illustrative example is given. The performance o...