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Activity Number: 78
Type: Contributed
Date/Time: Sunday, August 4, 2013 : 4:00 PM to 5:50 PM
Sponsor: Section on Physical and Engineering Sciences
Abstract - #310028
Title: Estimating a Generalized Binary Model for Mixture Experiments
Author(s): Liam Brown*+ and Alexander Donev
Companies: University of Manchester and School of Mathematics, University of Manchester
Keywords: Mixture Experiments ; Model Fitting ; Nonlinear Models
Abstract:

A new generalized model is proposed for mixture experiments.

This is seated within the existing methodology, possessing the Scheffe quadratic polynomial models, among other exisiting models, as a special case. These models are partially linear, containing nonlinear terms of joint effect. This nonlinearity requires innovative model fitting and for this a process of progressively adding and reestimating the nonlinear terms is proposed.

We will discuss the form of the new models briefly, before examining the model fitting procedure in detail, explaining how we have arrived to it, in its current form.


Authors who are presenting talks have a * after their name.

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