Regulation and Optimization
IAN R. DUNSMORE · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 1969
Summary A Bayesian statistical decision theory model is derived for some control problems in regression situations in which it is required to give a value of the concomitant variable x at which to perform an experiment in an effort to obtain a particular (although possibly unknown) value of the dependent variable y. In particular, problems of regulation and optimization are considered.