Showing papers by "William G. Hunter published in 1967"

The use of prior distributions in the design of experiments for parameter estimation in non-linear situations

Abstract: SUMMARY When prior information is available on the parameters of a non-linear model, it should influence the choice of the appropriate experimental design. We here investigate, for the single response case, how prior information on the parameters in the form of a multivariate normal distribution can be used in selecting designs for parameter estimation. An example illustrates how the precision of the prior knowledge can affect the positioning of the design points.

The use of prior distributions in the design of experiments for parameter estimation in non-linear situations: multiresponse case.

Abstract: : When prior information is available on the parameters of a nonlinear model, it should influence the choice of the appropriate experimental design. The authors investigate, for the multiresponse case, how prior information on the parameters in the form of a multivariate normal distribution can be used in selecting designs for parameter estimation. An example illustrates how the precision of the prior knowledge can affect the positioning of the design points. (Author)

An experimental design strategy for distinguishing among rival mechanistic models an application to the catalytic hydrogenation of propylene

Abstract: Box and Hill's method was applied to discriminate between two mechanistic models for the catalytic hydrogenation of propylene A sequential experimental design procedure, this method makes use of a discrimination criterion obtained from information theory