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